Location: Belarus
At
Flosum
, we are building the world's best software for the modern enterprise. Our team is passionate about crafting elegant, high-performance products that delight our customers and set a new bar for engineering excellence. We combine deep expertise in cloud-native development with a relentless focus on quality, speed, and innovation. Every line of code we ship is built to scale, built to last, and built to make a real difference for the businesses that rely on us.
We are a company where technologists lead, ideas win on merit, and shipping great software fast is a core value—not a slogan. If you believe world-class engineering teams are the ones that move quickly
and
build things right, you'll feel at home here.
About the Role
We are hiring a
Director of Software Development
to lead a team of 10 engineers building and scaling our Node.js and Salesforce-integrated products. This is a hands-on leadership role for a
technical architect at heart
who can compress delivery schedules, drive developer velocity, and own the performance of the overall solution. You will be the single point of accountability for turning our roadmap into shipped software—on time, at quality, and at scale.
What You'll Own
Lead, coach, and grow a team of 10 full-stack developers across Node.js services and Salesforce customizations.
Drive measurable improvements in developer velocity using DORA metrics: lead time, deployment frequency, change failure rate, and MTTR.
Compress delivery schedules by breaking epics into small, independently shippable slices and challenging inflated estimates with data.
Architect end-to-end solutions spanning Node.js microservices, APIs, event-driven patterns, and Salesforce (Apex, Lightning, integrations).
Own solution performance: latency, throughput, scalability, and cost—set SLOs and hold the team accountable to them.
Establish estimation, sprint, and release discipline; remove blockers; enforce accountability without burning the team out.
Partner with Product, QA, and Infrastructure to align roadmap, capacity, and dependencies.
Recruit, onboard, and performance-manage engineers; build a culture of ownership and speed.
Requirements
10+ years in software engineering with 5+ years leading development teams of 8–20 engineers.
Deep, current hands-on experience with
Node.js
(Express/Nest, async patterns, performance tuning, microservices).
Working knowledge of the
Salesforce
platform—Apex, Lightning Web Components, Flows, REST/Platform Events, and Node.js↔Salesforce integration patterns.
Proven
technical architect
background: designed distributed systems, API contracts, data models, and performance-critical solutions in production.
Track record of
schedule compression
—case studies where you measurably reduced cycle time or pulled in release dates without sacrificing quality.
Strong estimation and planning discipline in Agile/Scrum or Kanban environments.
Experience driving
solution performance
: profiling, caching, query optimization, horizontal scaling, and observability (APM, logs, traces).
Cloud-native delivery experience (AWS preferred) with CI/CD, IaC, and modern DevOps practices.
Excellent stakeholder communication—can negotiate scope vs. time vs. quality with executives.
Success Metrics (First 6–12 Months)
Reduce average lead time for changes and increase deployment frequency to meet DORA "high" or "elite" benchmarks.
Ship the current roadmap on a compressed timeline agreed with leadership.
Improve estimate accuracy (commit vs. deliver) to within an agreed tolerance.
Meet or exceed performance SLOs for the Node.js + Salesforce solution stack.
Retain and level-up the existing team while filling any skill gaps.
Why Flosum
At Flosum, we believe great software is built by great teams—and great teams are built by leaders who care deeply about both the craft and the people. You will have the autonomy, the talent, and the mandate to build something exceptional. If you want to lead a team that is setting the standard for what world-class software looks like, we want to talk to you.
Location: Dublin, IE; London, UK; New York City, NY; Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks.
The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist.
Responsibilities
Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale
Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously
Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations
Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy
Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur
Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth
Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents
You May Be a Good Fit If You
Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety)
Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it
Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction
Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them
Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership
Bring a blameless, learning-oriented mindset to incident reviews, focused on systemic improvement rather than individual fault
Have experience with cloud infrastructure incidents and enough technical depth across the stack to engage meaningfully with engineering teams during response, including comfort navigating distributed systems, monitoring tools, and logs
Are analytically minded, with experience using data (incident metrics, queries, trend analysis) to inform decisions during response and to drive operational improvements over time
Communicate clearly and calmly under pressure, both in real-time coordination and in post-incident written communications
Thrive in high-volume, fast-paced environments and are energized by bringing operational discipline to complex, evolving situations
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.
Responsibilities
Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
Sit in on crowd worker and vendor sessions to systematically understand pain points
Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores
Minimum Qualifications
You May Be a Good Fit If You
Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
Shipped products where they had to deeply understand technical constraints, not just translate requirements
Experience working directly with research teams, ideally in AI/ML contexts
Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
Preferred Qualifications
Strong Candidates May Also Have
Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
Experience working with researchers who are internal users/customers
Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
Strong project management skills: prioritization, communicating across team/org boundaries
The ideal candidate has the following virtues/values:
Have 5+ years in product management, with experience launching new products and scaling existing products.
Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
Researcher EQ: Deep understanding of how researchers think and what motivates them
Product creativity: Ability to see novel product opportunities emerging from research capabilities
Founder mentality: Track record of doing whatever it takes to ship highly technical products
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$305,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY; Austin, TX; San Francisco, CA
Workplace: Hybrid
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines.
You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.
YOU WILL:
- Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
- Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
- Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
- Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
- Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.
WHAT WE ARE LOOKING FOR:
- AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.
- Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.
- Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.
- Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.
- Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.
Nice to Haves:
- Expertise with LangSmith for evaluation and monitoring.
- Experience building or maintaining open-source projects.
- A background in technical consulting, solutions engineering, or high-growth GTM teams.
Compensation:
- We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
- Salary: $160K - $180K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before.
Note: This role may require responding to incidents on short-notice, including on weekends.
Responsibilities
Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve
Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast
Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent
Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down
Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams
Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing
Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning
Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations
Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution
You May Be a Good Fit If You
Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems
Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership
Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery
Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Are excited to redefine what technical program management looks like at the frontier of AI research
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Toulouse, France; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Gather functional, performance, environmental and security requirements from mission
stakeholders & CONOPs.
• Map requirements to payload equipment performance with I/F with on-board processor
• Coordinate with cybersecurity team for payload‑specific assessments
• Perform requirement management and maintain bidirectional traceability throughout the
program life cycle.
Payload Architecture & Design
• Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas,
Feeder links & front‑end), master reference oscillator & clock synchronizations.
• Produce Interface Control Documents (ICDs) with other subsystems and ground segment.
• Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN).
Simulation & Analysis
• Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral
efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting.
• Define and maintain Payload DC power budget with traffic & utilization models
• Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission
objectives
Hardware & Firmware
• Provide system‑level specifications to hardware designers, review schematics, layouts, thermal
interfaces, and mechanical constraints.
• Support SW development for MODCODs and on‑board processing pipelines; ensure BIST,
timing, latency and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Support payload design authority in System design reviews, Power/Structure/Thermal
interfaces and Mission Operations assessments.
• Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and
Mission‑Operations teams to resolve integration issues early.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level
test, environmental and electromagnetic compatibility (EMC) test campaigns.
• Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled
in PLM environment.
• Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Provide technical support to Mission Operations for routine payload health monitoring,
contingency handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Support SOOH development and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of digital regenerative
payload system design experience on LEO/MEO missions.
Comprehensive knowledge of digital communications, SDR, DSP, DVB RCS/SX protocols,
Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G NTN.
Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Location: Toulouse, France; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Establish functional, performance, environmental and security requirements with mission
stakeholders & CONOPs.
• Translate requirements into clear payload performance parameters and maintain bidirectional
traceability throughout the project lifecycle.
• Establish with cybersecurity team payload‑specific requirements & embed resilience and
security by design.
Payload Architecture Definition
• Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays,
digitizers/ onboard processing, Feeder links, master reference oscillator & clock
synchronizations).
• Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload
specific subsystems.
• Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber).
Trade‑Study & Technology Road‑Mapping
• Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board
processing algorithms, PVT.
• Identify emerging technologies and incorporate them into the company’s long‑term roadmap.
System Modeling & Performance Simulation
• Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using
MATLAB/Simulink, SystemView or Python‑based toolkits.
• Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral
efficiency, G/T, EIRP and other key metrics.
• Optimize payload design and performance with operation with traffic models/CONOPs.
Simulation & Analysis
• Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range,
spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting.
• Optimize Payload DC power budget with traffic & utilization models.
Hardware & Firmware
• Own system‑level specifications to hardware designers, review schematics, layouts, thermal &
mechanical interfaces.
• Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency
and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software,
Ground Segment and Mission Operations teams to resolve integration issues early.
• Support payload design authority in System design reviews and Mission Operations
hand‑over.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test,
environmental and electromagnetic compatibility (EMC) test campaigns.
• Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled
in PLM environment.
• Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Technical support to Mission Operations for routine payload health monitoring, contingency
handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Define SOOH and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital
regenerative payload system design experience on LEO/MEO missions.
Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX
protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.
Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Location: Toulouse, France; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Gather functional, performance, pointing, environmental and security requirements from
mission stakeholders & CONOPs.
• Capture, trace and map payload requirements from mission level to subsystem level
• Coordinate with cybersecurity team for payload‑specific assessments
• Perform requirement management and maintain bidirectional traceability throughout the
program life cycle.
Payload Architecture & Design
• Design the SAR system architecture (antenna arrays & RF front-end Tx/Rx components, digital
beamforming, processing chain and digital electronics, power, thermal, and mass).
• Lead the conceptual, preliminary, and detailed design phases, producing trade studies,
performance budgets).
• Produce Interface Control Documents (ICDs) with other subsystems and ground segment.
• Provide system‑level specifications to hardware designers, review schematics, layouts, thermal
interfaces, and mechanical constraints
Simulation & Analysis
• Perform performance simulations for tolerance budgeting and image quality.
• Support algorithm and analytical development to process SAR.
• Define and maintain Payload DC power budget with utilization models.
• Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission
objectives
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Support payload design authority in System design reviews, Power/Structure/Thermal
interfaces and Mission Operations assessments.
• Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and
Mission‑Operations teams to resolve integration issues early.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level
test, environmental and electromagnetic compatibility (EMC) test campaigns.
• Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, firmware, deliverables and documentation are version controlled
in PLM environment.
• Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Provide technical support to Mission Operations for routine payload health monitoring,
contingency handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Support SOOH development and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Computer science or Physics with 10 + years of experience
supporting SAR remote sensing system development, integration and test on LEO/MEO
missions.
Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Location: Dubai, United Arab Emirates
Mira Construction L.L.C is seeking a compassionate and experienced
Construction Site Nurse
to provide healthcare support and emergency medical assistance at our construction sites. The Site Nurse will be responsible for administering first aid, monitoring workers' health, promoting health and safety awareness, and supporting occupational health initiatives onsite.
Key Responsibilities:
Provide first aid and emergency medical treatment to workers injured or unwell onsite.
Monitor and assess the health conditions of employees and refer cases to medical facilities when necessary.
Maintain health records and report any illness or injury incidents promptly.
Conduct health and safety training sessions related to occupational hazards and preventive care.
Coordinate with safety officers and management to promote workplace safety and hygiene.
Manage and maintain medical supplies and first aid kits at the site.
Ensure compliance with company health policies and local health regulations.
Requirements
Registered nurse with a valid nursing license recognized in UAE.
Proven experience working as a nurse, preferably in construction or industrial settings.
First Aid and CPR certification are mandatory.
Strong knowledge of occupational health and safety standards.
Ability to handle emergency situations calmly and effectively.
Excellent communication and interpersonal skills.
Fluent in English; additional language skills are an advantage.
Benefits
Competitive salary;
Official UAE employment status;
Comprehensive medical insurance coverage;
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research.
Key responsibilities
Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
10+ years of software engineering experience, including time as a technical lead setting direction for a team
Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
Our Trading Product Group leads the design of all the products on OKX's derivatives trading exchange, including spot trading, spot margin, futures, leveraged tokens, trading options etc.
What You’ll Be Doing
AI Agent Review & Escalation -
Review AI agent outputs across risk monitoring workflows — assess findings for accuracy, identify false positives, and escalate risk events through the appropriate channels with clear, well-documented rationale.
Risk Patrol Operation -
Operate AI-assisted investigation workflows covering key risk metrics. Verify agent reasoning, identify analytical gaps, and ensure the quality output of investigations.
Market Abuse
Investigation
- Review AI-surfaced signals related to suspected market abuse, assess the validity, and escalate to the appropriate team with a structured findings report.
SOP Development & Agent Skill Authorship
- Translate frontline risk experience into structured SOPs and agent skill sets. Identify blind spots in current detection logic, document edge cases, and collaborate with the Product team to continuously improve automated coverage.
Risk System Quality Review
- Conduct regular reviews of agent performance — assessing output quality, surfacing systematic errors, and proposing refinements. Serve as a quality gate between automated risk outputs and business-level decisions.
Cross-Functional Risk Coordination
- Communicate escalated risk findings clearly to Product, Compliance, Legal, and Operations teams. Ensure AI-generated intelligence is accurately interpreted and translated into actionable, well-documented recommendations.
What We Look For In You
3+ years in trading risk, ideally at a crypto exchange or derivatives venue.
Deep knowledge of attack vectors: pump-and-dump, wash trading, liquidation suicide attacks, Sybil patterns, flash crashes.
Strong data intuition — Able to QA AI-generated analysis, spot anomalies in outputs, and challenge agent conclusions.
Comfort operating in an AI-augmented workflow: prompting agents, reading structured outputs, making final calls under time pressure.
Excellent judgment in ambiguous, high-pressure situations — You decide, the agent advises.
Cross-functional collaboration skills; able to work with PMs, engineers, and compliance.
Nice-To-Haves
Hands-on experience with LLM-based tools, SQL, or Python — Enough to validate AI-generated queries.
Personal trading experience or financial risk certification (FRM/CFA).
Mandarin proficiency for collaboration with technical teams.
Experience writing or refining risk SOPs or runbooks.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
Our Trading Product Group leads the design of all the products on OKX's derivatives trading exchange, including spot trading, spot margin, futures, leveraged tokens, trading options etc.
What You’ll Be Doing
AI Agent Review & Escalation -
Review AI agent outputs across risk monitoring workflows — assess findings for accuracy, identify false positives, and escalate risk events through the appropriate channels with clear, well-documented rationale.
Risk Patrol Operation -
Operate AI-assisted investigation workflows covering key risk metrics. Verify agent reasoning, identify analytical gaps, and ensure the quality output of investigations.
Market Abuse
Investigation
- Review AI-surfaced signals related to suspected market abuse, assess the validity, and escalate to the appropriate team with a structured findings report.
SOP Development & Agent Skill Authorship
- Translate frontline risk experience into structured SOPs and agent skill sets. Identify blind spots in current detection logic, document edge cases, and collaborate with the Product team to continuously improve automated coverage.
Risk System Quality Review
- Conduct regular reviews of agent performance — assessing output quality, surfacing systematic errors, and proposing refinements. Serve as a quality gate between automated risk outputs and business-level decisions.
Cross-Functional Risk Coordination
- Communicate escalated risk findings clearly to Product, Compliance, Legal, and Operations teams. Ensure AI-generated intelligence is accurately interpreted and translated into actionable, well-documented recommendations.
What We Look For In You
3+ years in trading risk, ideally at a crypto exchange or derivatives venue.
Deep knowledge of attack vectors: pump-and-dump, wash trading, liquidation suicide attacks, Sybil patterns, flash crashes.
Strong data intuition — Able to QA AI-generated analysis, spot anomalies in outputs, and challenge agent conclusions.
Comfort operating in an AI-augmented workflow: prompting agents, reading structured outputs, making final calls under time pressure.
Excellent judgment in ambiguous, high-pressure situations — You decide, the agent advises.
Cross-functional collaboration skills; able to work with PMs, engineers, and compliance.
Nice-To-Haves
Hands-on experience with LLM-based tools, SQL, or Python — Enough to validate AI-generated queries.
Personal trading experience or financial risk certification (FRM/CFA).
Mandarin proficiency for collaboration with technical teams.
Experience writing or refining risk SOPs or runbooks.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Canada; England; Portugal; Spain; Italy; Germany; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
As a Senior Security Engineer embedded in the Desktop engineering team, you will own the security posture of a complex, cross-platform product that sits at the intersection of identity, OCI runtimes, and Linux kernel internals. You will be the team's primary security voice, reviewing features and code before they ship, partnering with our central security organization, and serving as the first line of triage for reported vulnerabilities.
This is a hands-on engineering role for someone who thinks in threat models and communicates clearly with both product engineers and security specialists alike.
RESPONSIBILITIES:
- Partner with engineering and product teams throughout the development lifecycle to identify security risks early, from design review through code review and release.
- Conduct threat modeling and security design reviews for new and evolving product features, with particular focus on authentication, authorization, and container runtime security.
- Serve as the team's primary liaison to the organization's security group, attending security syncs, relaying guidance, and translating central policy into practical engineering decisions.
- Act as the first point of contact for incoming vulnerability reports and CVEs: validate severity, reproduce issues, coordinate disclosure timelines, and drive remediation with the relevant engineers.
- Review Go code with a security mindset, identifying classes of issues such as privilege escalation, insecure defaults, injection risks, and improper credential handling.
- Contribute security-focused improvements directly to the codebase where appropriate.
- Develop and maintain internal security documentation, guidelines, and runbooks for the team.
- Stay current on the Linux security landscape as it pertains to containers: namespaces, cgroups, seccomp, AppArmor, capabilities, and the evolving OCI ecosystem.
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
QUALIFICATIONS:
- 6+ years of experience in security engineering, application security, or a closely related discipline, with a track record at senior or staff level.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong proficiency in Go, with the ability to review and contribute to production-grade code.
- Deep understanding of Linux fundamentals relevant to container security: namespaces, cgroups, capabilities, seccomp profiles, AppArmor/SELinux, rootless containers, and privilege boundaries.
- Solid grasp of OCI specifications and container runtime security (e.g. runc, containerd, BuildKit).
- Hands-on experience with identity and access management concepts: OAuth 2.0, OIDC, token handling, and auth flows in desktop or cloud-adjacent contexts.
- Experience performing security design reviews, threat modeling, and participating in secure development workflows.
- Familiarity with vulnerability management processes: CVE triage, CVSS scoring, coordinated disclosure, and working with external reporters.
- Strong written and verbal communication skills; comfortable bridging the gap between a dedicated security team and a product engineering team.
WHAT TO EXPECT
FIRST 30 DAYS
You will onboard into the team and get hands-on with the Docker Desktop codebase, architecture, and development workflow. You will meet your counterparts in the central security organization and learn how vulnerability reports are currently handled. The goal is to listen, ask questions, and build a clear picture of the product's current security posture, not to change anything yet.
FIRST 90 DAYS
You will be an active participant in design and code reviews, bringing a security lens to features in flight. You will have taken ownership of the vulnerability intake process, handling your first end-to-end triage cycles with minimal guidance. You will have a working relationship with the engineers on the team and a growing sense of where the most meaningful security investments should be made.
ONE YEAR OUTLOOK (FIRST YEAR)
You will be the team's trusted authority on product security. You will have driven meaningful improvements to how the team approaches security across the development lifecycle, whether that's better threat modeling practices, improved auth flows, stronger container isolation defaults, or reduced time-to-remediation for reported issues. you will be a known presence in the broader security organization, and your work will be directly visible in the security and resilience of a product used by millions of developers every day.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
Canada: CA$271,150 – CA$434,000 + equity
United States: $194,150 – $312,950 + equity
EU: €113,860 – €186,780 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. Our team's mission is to have the best observability into production post-training runs at Anthropic: to be the clearest, most trusted view of model quality during training. We shape what gets measured, keep the signal trustworthy and timely, and get to the bottom of surprising results to inform post-training and release decisions.
In this role you will lead the science of how we evaluate production training runs. You'll work out which measurements tell us something real about the model, notice when they stop doing so, and find what we should be measuring but aren't. You'll partner with research teams across every RL domain, bringing their priorities into what we measure and setting the standard for what makes an eval trustworthy across post-training. You'll also be hands-on with the eval fleet day to day, because the best questions about measurement come from watching real results come in during a live run.
Responsibilities
Steer the eval strategy for production Claude models: study and optimize the eval mix so it gives the most accurate and complete assessment of model quality
Run and monitor the eval fleet live to understand how each Claude model is developing as it trains
Advise teams across post-training on eval methodology, and help eval authors bring new evals up to the bar for production
Investigate regressions in production runs and inform training interventions when appropriate
Build the dashboards, alerts, and reports that researchers and leadership use to track model quality
You may be a good fit if you
Have designed, run, and analyzed evaluations for ML models at scale
Care deeply about measurement quality, thinking twice before trusting a number
Can turn ambiguous results into clear recommendations, and are comfortable influencing direction across teams
Have strong Python skills and are comfortable working with production systems
Maintain clarity and rigor when debugging complex, time-sensitive issues
Thrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities during a live training run
Care about the societal impacts of your work and about shipping frontier models responsibly
Strong candidates may also have
Hands-on experience post-training large language models
Research experience in ML evaluation or benchmarking
Background in statistics and experimental design
Experience developing robust evaluation metrics for ML systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
As a enterprise technical support engineer, you will work closely with our enterprise customers and engineers to resolve their most complex issues. You will also help build out systems and processes to manage tasks to completion. You will problem solve with our technical teams and work to resolve as much as you can while scaling our systems and support processes.
This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Work closely with our largest customers providing white-glove support to solve the most challenging support interactions
- Build and maintain strong relationships with enterprise customers, ensuring high levels of engagement and satisfaction
- Lead the troubleshooting and resolution of advanced technical issues across Notion’s platform and embedded partner applications, with a focus on unlocking AI usage for customers
- Act as a bridge between your customers and Notion engineering teams by reproducing issues, driving resolution through detailed bug reports, and closing the loop proactively with your customers
- Work cross-functionally across engineering and product to build processes and manage issues
- Perform advanced troubleshooting of products and embedded partner applications
- Reproduce customer issues, perform initial codebase triage, and file bugs with Engineering
- Manage key performance metrics defined within the team
- Respond to high-priority customer issues
- Create, refine, and scale support processes, working to improve overall support efficiency and effectiveness in handling complex, high-priority cases
- Collaborate on the creation and maintenance of both internal knowledge and customer-facing documentation, enhancing self-service support options for customers
- Participate in an on-call rotation to assist customers outside of normal working hours (once in a few months)
SKILLS YOU'LL NEED TO BRING
- 10+ years of experience in technical support, technical account management, or similar role
- You have experience owning and scaling support processes end-to-end to drive customer and company outcomes. This includes but is not limited to creating internal documentation, proposing and owning process changes, and advocating for specific customer outcomes
- You have a strong understanding of and experience with REST APIs
- You have experience advising customers on AI tool adoption
- You have knowledge of Single Sign-On including OAuth, SAML, and SCIM
- You have knowledge and experience troubleshooting desktop applications on Microsoft Windows and macOS
- You have experience advising both technical and non-technical stakeholders, and communicating complex issues with clarity
- You have strong analytical, debugging, and problem-solving skills
- You are able to analyze server and client application logs and identify the root cause of errors
- You have strong written and verbal communication skills and can work with both technical and non-technical audiences
- You are able to balance user expectations while understanding policies and compliance boundaries
- You are able to work under pressure and remain focused, confident and professional
- You are able to collaborate effectively with peers and across teams that are located in multiple offices
- You have experience mentoring more junior team members to deepen their technical expertise and drive outcomes for the business and customers
- You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results
NICE TO HAVES
- Knowledge of Linux, APIs, NoSQL, MySQL, and similar open-source technologies
- Experience with scripting languages such as Python, Java, JavaScript, or TypeScript
- Deep existing knowledge of Notion
- Experience operating in an organization that does Knowledge-Centered Service (KCS)
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $160,000 - $185,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Paris; Warsaw; Istanbul
Workplace: OnSite
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
You will be a key creative leader within a newly established internal studio, a dynamic and focused team dedicated to developing and scaling some of our most exciting puzzle game titles. This studio is specifically chartered to take high-potential puzzle games and elevate them into polished, market-ready experiences that resonate with players worldwide.
In this role, you'll lead the artistic direction across our puzzle game portfolio, setting the visual standard and guiding a team of artists to ensure consistency, quality, and creative ambition across all titles. Puzzle games demand a precise and thoughtful visual language, from clear iconography and satisfying feedback animations to cohesive UI and world aesthetics, and you will be the person accountable for delivering and championing that standard.
You'll have the opportunity to shape the growth and visual identity of our puzzle titles from the ground up, leveraging their existing traction to build truly exceptional player experiences. This is a unique chance to take genuine ownership of the creative direction within a dedicated and agile studio environment, joining a project pipeline with established momentum while leaving a lasting mark on the art and culture of the team around you.
ROLE
- Lead the art development for your puzzle titles, establishing and evolving the visual identity in close collaboration with the General Manager.
- Provide clear, constructive feedback to artists on the team, maintaining a high and consistent quality bar across all deliverables.
- Create and maintain a comprehensive UI Style Bible and reusable component libraries for use across the team.
- Create high-quality 3D/2D assets (characters, props and environment art) and ensure optimal performance across mobile devices.
- Iterate quickly based on team feedback and live user data.
- Champion creative ideas that boost player engagement and improve the user experience, setting an example for the wider team.
PROFILE
- Proven experience leading or mentoring artists, with the ability to give feedback that is direct, actionable and creatively elevating.
- Strong Unity skills, with the ability to implement and optimise directly in engine.
- Excellent 3D/2D design skills, with a keen eye for visual hierarchy, composition, and readability.
- Experience contributing to or owning an art direction, including style guide creation and asset pipeline standards.
- Experience with A/B testing or working with LiveOps features.
- A keen eye for emerging mobile game trends, with the ability to creatively deconstruct and learn from success cases.
- Experience collaborating with cross-functional remote teams.
- AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work
- Fluent in English.
BENEFITS
- Competitive salary
- Premium healthcare (SideCare) for you and your family 100% borne by Voodoo
- Swile Lunch voucher
- Gymlib (100% borne by Voodoo)
- Wellness activities in our Paris office
- Child daycare facilities (Les Petits Chaperons rouges)
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; Austin, TX; Chicago, IL
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston, Chicago , Austin. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Finnish
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Speech & Voice AI Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Polish
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Dublin, IE; London, UK; New York City, NY; Remote-Friendly, United States
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Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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seniorSingapore, Singapore
УдалённоseniorCanada; England; Portugal; Spain; Italy; Germany; United States
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ГибридSan Francisco, California
ОфисParis; Warsaw; Istanbul
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; Austin, TX; Chicago, IL; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston, Chicago , Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
