Location: Puget Sound Veterinary Specialty + Emergency - Gig Harbor, Washington
LVT or Experienced Veterinary Assistant – Emergency/Critical Care (all shifts)
Location:
Puget Sound Veterinary Specialists and Emergency
Schedule:
Day (6:3a-7p), Mid (1p-1a), Overnight (7p-6:30a)
Sign-On Bonus:
$5000 for Overnight LVT or VTS
About Us:
Puget Sound Veterinary Specialists is a specialty animal hospital located in Gig Harbor, Washington. Our team includes highly skilled veterinarians specializing in Emergency/Critical Care, Internal Medicine, Neurology and Oncology, supported by dedicated technicians and client service professionals.
We are a medicine and culture focused organization that values teamwork, integrity, compassion, and continuous learning. Our goal is to create an environment where both people and pets feel supported.
Position Overview and Schedule:
We are seeking experienced Veterinary Assistants and Licensed Technicians to join our Emergency and Critical Care Department team. This role requires a strong commitment to patient care, collaboration, and professionalism in a fast-paced specialty and emergency environment.
Schedule details:
3/12’s (4/10 schedule may be considered)
Essential Responsibilities:
Triage and obtain patient history from owners
Perform diagnostic tests and out-patient procedures
Administer medications and treatments as directed by DVM
Provide oversight and treatment for multiple ER patients, ensuring gold-standard patient nursing and husbandry
Provide support and education to pet owners
Maintain accurate medical records
Discharge patients and answer client questions
Fill prescriptions and review with owners
Maintain cleanliness of the hospital
Required Qualifications:
Minimum of 2 years of experience in an ER setting, LVTs must hold an active Washington license or immanent transfer of licensure
Strong communication and interpersonal skills
Ability to handle fast-paced, high-stress situations with composure
Confidence in life-saving procedures such as CPR/BLS
Strong phlebotomy and venipuncture skills
Compensation & Benefits
Competitive hourly rate commensurate with clinical experience:
VTS ECC $40-$48
LVT $31-$40
Advanced or Experienced Veterinary Assistant $24-$32
Veterinary Assistant $20-28
$5 per hour differential for all hours worked between 7pm - 7:00am
$2 per hour differential for Saturday/Sunday 7am-7pm
Tuition assistance for professional development
Employee Assistance Program (EAP)
Health, dental, and vision insurance (HSA/FSA available)
401(k) with employer match
Disability coverage
Generous Employee discounts
Paid time off (PTO) and call-in shift stipends
If you’re looking for a place where you can make an impact, feel supported, and continue to grow in your career, we would love to meet you.
For more information about our hospital, please visit
pugetsoundvetspecialists.com
To apply, please contact Christine Erickson at
christine.erickson@lakefieldvet.com
ABOUT LAKEFIELD VETERINARY GROUP
We believe exceptional veterinary care starts with exceptional people.
We partner with hospitals across the country to preserve what makes each practice special - its people, culture, and connection to community - while providing the operational support and resources that allow teams to thrive.
As we grow, we are committed to creating an environment where team members feel respected, supported, and empowered to deliver outstanding care.
Our Values
Our culture is built on five core values that guide how we work and serve:
Respect
Learning
Do the Right Thing
Wow Service
Fun
If these resonate with you, you’ll fit right in.
Equal Employment Opportunity
Lakefield Veterinary Group is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all team members and applicants.
Compensation Range
$31
—
$38 USD
Location: San Jose, California, United States
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.
About The Opportunity
We are looking for a sharp, hands-on Growth Product Manager to join OKX's Growth team and own the programs that drive user acquisition, activation, and retention at scale. You will design, ship, and iterate on growth campaigns, referral mechanics, and incentive systems that directly move our core business metrics.
OKX is one of the world's leading crypto exchanges, serving over 50 million users globally. As we scale our US and European presence in a rapidly evolving regulatory landscape, our Growth team sits at the intersection of product, data, and go-to-market. If you want to do the most impactful growth work in crypto right now, with real budget, real data, and real users, this is the seat.
What You’ll Be Doing
Define the growth product vision and own the roadmap and set the strategic direction for where we invest, what we build, and how we win across key markets.
Design, ship, and iterate on growth campaigns and features with clear hypotheses, rapid experimentation cycles, and measurable outcomes.
Read data like a native: independently conduct funnel analysis, cohort segmentation, and channel ROI modeling to identify the highest-leverage growth opportunities and make fast resource allocation decisions.
Build fraud-resistant growth systems by design — model abuse vectors proactively, architect product-level guardrails against bot attacks, multi-accounting, and reward farming, and balance acquisition scale with cost quality as a P&L owner.
Drive cross-functional execution cross-functionally in a fast-moving, globally distributed org.
Champion AI-native product development, leverage LLMs, agentic workflows, and automation tools to accelerate analysis, prototyping, and decision-making across the team.
Collaborate with regional and global stakeholders to localize growth strategies and adapt playbooks across different regulatory and market environments.
What We Look For In You
5–10+ years of product management experience, with at least 3 years directly owning growth, user acquisition, or activation — ideally at a crypto exchange, fintech platform, or hyper-growth consumer company.
Proven track record of designing and shipping growth campaigns or referral/incentive programs that drove significant user or revenue growth, with quantifiable results.
Sharp product instinct for user experience, you can spot friction in a signup flow, a poorly positioned CTA, or a broken incentive loop from the user's perspective, and you fix it fast.
Strong understanding of fraud and abuse patterns in growth programs
Thrives in ambiguity and speed: you're comfortable operating with incomplete information, making fast calls, and course-correcting.
Genuine enthusiasm for AI-native workflows to multiply your output and are excited about integrating them into product development processes.
Excellent communication skills, can distill complex data and tradeoffs into clear recommendations for leadership, and can align diverse stakeholders without heavy process overhead.
Experience with multi-market or multi-region growth is a strong plus.
Crypto-native or fintech background is strongly preferred.
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!
OKX Statement
The salary range for this position is
$214,666 to $375,666
. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in New York City, New York. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
REPRESENTATIVE PROJECTS
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
COMPENSATION RANGE
$201,000 - $264,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
REPRESENTATIVE PROJECTS
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
COMPENSATION RANGE
$236,000 - $290,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE. https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Poland
Are you a Procurement Manager with a passion for renewable energy?
We are continuing our international expansion and searching for our next Consultant to work on local and international projects from Poland.
Role & Responsibility
Your role as Consultant will entail working with our clients to support the development and implementation of supply chain and procurement strategies for their projects; supporting or leading the Tender process for major CAPEX packages; negotiating and entering into contracts with the suppliers; and supporting the realisation of the project in accordance with the procurement strategy and contract management strategy.
Planning, implementation and execution of procurement and/or tender strategies.
Look to provide maximum value to our clients in terms of quality, price and schedule while minimizing risks;
Lead and perform the complete procurement process including issuing of requests for information, requests for proposals and tenders, evaluating proposals, recommending the award of and finalising contracts;
Ensure that the procurement process is executed according to client policies and procedures, and documented in order to allow transparency and traceability throughout;
Identify all value items and their relationship within the scope of the procurement and set the tender strategy according to a well-defined awarding criteria;
Coordinate the flow of information internally and externally keeping all stakeholders informed on progress;
Support the finalization of the commercial and contractual deal through standard general conditions and/or managing exceptions to those together with legal and the main stakeholders;
Who are we looking for?
We are seeking passionate and motivated procurement and supply chain professionals in offshore wind, that are aligned to our Vision and excited by the opportunities and challenges of working in a rapidly expanding international business. Ideally, you will have:
Experience in procurement management, preferably in a project organisation.
Excellent communication skills in English.
Ability to travel domestically and internationally as required to support delivery of your package of works.
Experience in major infrastructure and energy projects is welcomed.
Experience in leading and managing procurement and tender processes.
Strong interpersonal, negotiation and communication skills.
Structured and methodical way of working.
Ability to project manage processes and lead negotiations.
About JUMBO Consulting Group
JUMBO Consulting Group is a specialist consultancy, part of Turner & Townsend, focused on providing strategic supply chain development, procurement and contracts management advisory to leading investors and developers of renewable energy and infrastructure projects worldwide.
Headquartered in Copenhagen, Denmark, JUMBO has 11 global offices supporting clients developing, building and operating projects across North America, Asia-Pacific, and Europe. Through our connection with Turner & Townsend, we have access to a global network while maintaining our specialist focus on complex, transformational energy and infrastructure projects.
Your Career
JUMBO Consulting Group is driven by the vision of a more sustainable world. You, alongside your talented and like-minded colleagues, are the individuals that will make the difference. You will play an integral role in the development of critical renewable energy and sustainable infrastructure efforts on a global scale.
You will have the opportunity to work on ground-breaking energy transition projects and shape the organisation's development in the Netherlands, Europe and internationally. Enjoy a work culture that is inspiring and fosters collaboration across teams and projects, with access to further education, training and development opportunities.
Take the Next Step:
If this sounds like your next challenge, apply directly or contact Mikkel Riisgaard at mri @jumbocg.com for a detailed discussion.
By submitting your CV and application to JUMBO Consulting Group, you consent to have your personal data processed and stored in our CV database for the purpose of recruitment.
Location: San Francisco, California; New York, New York
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: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are looking for an engineer who can walk into messy, cross-functional workflows and turn them into clean, automated systems that scale. This role focuses on identifying high-friction operational processes across the company and replacing them with durable, API-driven automation. You will work across IT, Security, Engineering, and Business teams to reduce manual work, improve reliability, and build systems that scale with the company.
This is not a ticket-driven IT role. You will operate with a high degree of ownership, driving initiatives end-to-end from problem discovery through implementation and rollout. You will be part of the Business Technology - Corporate Engineering team and report to the Director of Business Technology.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Identify and automate high-impact operational workflows across onboarding, offboarding, access management, and service delivery
Replace manual, fragmented processes with scalable, API-driven systems
Build and maintain integrations across HRIS, identity providers, SaaS platforms, and cloud environments
Develop internal tools and automation using platforms like Retool, Okta Workflows, and custom scripts or services
Apply infrastructure-as-code to manage and version system configurations
Incorporate AI into workflows to improve efficiency in areas like ticket routing, knowledge retrieval, and decision support
Design and automate access and security workflows that enforce least-privilege and auditability
Own and drive cross-functional initiatives end-to-end, from problem definition through implementation and rollout
The ideal candidate has:
4–7+ years of experience in IT, platform engineering, automation, or similar roles
Strong scripting or programming ability in Python, Go, Node.js, PowerShell, or similar
Experience building API-driven automation across multiple systems
Ability to design and implement workflows that span multiple tools and teams
Experience with infrastructure-as-code such as Terraform or similar
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What will make you stand out:
Hands-on experience with identity and access systems (Okta, SSO, SCIM, RBAC), including implementation and ongoing management
Proven ability to build and scale internal tools using platforms like Retool or other low-/no-code solutions
Familiarity with security automation and orchestration (e.g., Tines), with an eye toward reducing manual effort and risk
Practical experience leveraging AI/LLMs to streamline and enhance operational workflows
Strong understanding of compliance and security standards (HIPAA, SOC 2, HITRUST) and how they shape systems and processes
Focused on driving meaningful outcomes
Able to identify root-cause, system-level issues and design durable solutions rather than quick fixes
Comfortable navigating cross-functional environments with competing priorities and constraints
Operates with urgency while building scalable, maintainable solutions
Defaults to automation and efficiency wherever possible
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Okta, Okta Workflows, Retool, FreshService (ITSM), Google Workspace, Slack, Atlassian (Confluence and Jira), MDM platforms (Jamf Pro, Kandji/Iru, Intune), Airtable, AWS and GCP, Terraform, Rippling (HRIS), SOAR (Tines), and AI-enabled operational tooling (Claude, Gemini, OpenAI)
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $189,000 - $220,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: USA
Company Intro
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Serbia
, and more.
About the Role
Technical consultants
play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than
3 years
of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
Responsibilities
1. Client Ownership & Communication
Act as the primary technical point of contact for customers across technical and executive stakeholders.
Lead discovery conversations to deeply understand client goals, problems and quality criteria.
Translate client needs into clear, actionable solution designs and delivery plans.
Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls.
Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
Run experiments and pilots to validate quality, throughput, and cost assumptions.
Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
Prioritize work based on customer impact and business value.
Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
Continuously optimize solutions through iteration, automation, and adoption of new technologies.
Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
Drive solutions toward stable operation with minimal ongoing maintenance.
Requirements
Core Experience
Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
Experience designing multi-stage pipelines and complex systems.
Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
Experience with crowdsourcing, expert workflows, or large-scale data labeling.
Experience working on ML training, evaluation, or agentic systems.
Familiarity with quality frameworks, audits, or data validation pipelines.
What we can offer
Full-time independent contractor engagement (B2B)
through the
Ontop
contractor platform
, working via your own company or business entity;
Flexible, fully remote schedule (
40 hours per week
);
Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;
Projects with customers that are AI industry leaders and well-known household names;
Friendly community.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our
Privacy Notice
.
Location: New York, NY (HQ); Remote (Canada); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT PRODUCTION ENGINEERING
Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them.
A few things that define how we operate:
- One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle.
- If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack.
- We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed.
- We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job.
- We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters.
You cannot build the future of finance on shaky infrastructure.
OUR TEAMS
Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does.
Right now, we operate across four areas:
- Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale
- Storage — databases, caching, object storage, and the data infrastructure that underpins everything
- Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture
- Internal Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs
WHAT YOU'LL DO
Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team.
Day to day, you will:
- Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale.
- Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved.
- Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time.
- Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs.
- Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers.
- Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE.
- Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom.
- Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done.
WHAT WE LOOK FOR
We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team.
The mindset we're looking for:
- You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem.
- You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job.
- You move with urgency but without chaos. You know when to go fast and when to slow down and do it right.
- You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win.
- You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one.
- You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am.
Experience profile:
- 2+ years of software engineering experience shipping high-quality architectures for critical systems
- Strong software engineering fundamentals — you write clean, well-tested, production-ready code
- Hands-on experience with distributed systems at production scale
- Experience with at least one major cloud provider (AWS preferred)
- Familiarity with observability practices (SLOs, error budgets, alerting, dashboards)
- Track record of leading technical projects end-to-end, including cross-team coordination
- Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — we expect our engineers to leverage these tools to move faster and think bigger
Bonus (not required):
- Experience with cellular or multi-tenant architecture patterns
- Prior work on workflow orchestration systems (Temporal)
- Contributions to developer experience or internal platform tooling
- Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2)
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Head of Field Engineering Operations to join our Revenue Operations team. You'll be a strategic partner to the VP of Field Engineering and build the systems, processes, and team that help our Field Engineering organization scale.
You will build and lead a team while constantly asking how we can use better tooling, smarter automation, and tighter feedback loops to make the organization faster and sharper.
You will report to the VP of Revenue Operations. If you’re based within a pre-determined commuting distance of one of our offices (SF, NYC, or Austin), the role includes in-office anchor days on Monday, Tuesday, and Friday. For location-specific details, please connect with our recruiting team.
What you'll do
Design the processes, systems, and operating cadences that let Solutions Architects, Developer Success Engineers, Customer Success Engineers, Technical Account Managers, and Professional Services scale
Build and lead the Field Engineering Operations team, and set team structures, role definitions, and engagement models as Field Engineering grows
Run capacity planning, territory design, and resource allocation across the Americas, Europe, the Middle East and Africa (EMEA), and Asia-Pacific (APAC), in step with go-to-market (GTM) teams
Own the pre-sales to post-sales lifecycle framework, including technical win and onboarding forecasts, go-live tracking, and consumption ramp measurement
Define the Field Engineering metrics, dashboards, and health scoring models that show team performance, account engagement, and customer outcomes
What you need
8+ years in operations, strategy, or technical program leadership supporting field engineering, solutions, or customer-facing technical teams at high-growth SaaS companies, including 3+ years building and leading teams
Built operational frameworks for pre-sales and post-sales technical teams, including territory planning, capacity modeling, and compensation design, at companies with $100M+ annual recurring revenue (ARR)
Hands-on Salesforce administration and architecture, including custom objects, flows, reporting, and integrations with ecosystem applications
Partnered with VP-level technical leaders to turn org priorities into operational plans, delivered with Sales, Finance, Product, and Revenue Operations
Bonus if you
Built an operations function from the ground up within a Field Engineering or Solutions Architecture organization
Owned post-sales lifecycle management for a consumption-based pricing model, including onboarding funnels and customer health scoring
Wrote SQL for ad hoc analysis and shipped internal tools or automation, including AI-driven workflows, for a go-to-market team
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $260,000-$300,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
#LI-KS1
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ BUILD THE AI-NATIVE COMPANY, FOR REAL
Alan has spent 10 years developing a distinctive way of working: radical transparency, written culture, distributed decision-making, no managers, no meetings by default. This wasn't just philosophy. It was a deliberate architectural choice, and it made Alan one of the most productive companies in European tech.
Now, agentic AI empowers us to make it much more personalized. The principles that made Alan productive become the foundation for a much more ambitious journey: a company where AI agents handle organizational complexity, surface the right context instantly, and let every person focus on the work that matters.
As a Software Engineer on this team, you will:
- Build the AI-powered internal platform that every Alaner uses daily to navigate the company, find context, and take action.
- Design and ship intelligent agents that automate real organizational workflows: onboarding, knowledge retrieval, performance alignment, decision support.
- Push LLMs into production for structured reasoning, agentic task execution, and deep integration with internal tools.
- Define the primitives and abstractions of AI-native work, the patterns that scale across every team and every country Alan operates in.
- Replace generic tools (HRIS, performance reviews, IAM) with opinionated, Alan-native software that compounds with our culture.
- Build and scale our Identity & Access Management (IAM), Privileged Access Management (PAM), and user lifecycle across 25+ systems.
- Collaborate with product, design, security and leadership to turn Alan's cultural principles into software that amplifies them.
WHY THIS ROLE IS SPECIAL
- Alan's written, transparent, async culture generates an extraordinary volume of structured organizational knowledge. Most companies can't feed AI agents with high-quality internal data. Alan already can.
- The team is building a full AI-native operational layer from scratch, not adding copilots to legacy tools.
- Every Alaner uses what you ship, every day. The feedback loop between building and impact is immediate.
- The work sits at the frontier of applied AI: agents, retrieval-augmented generation, structured outputs, tool use, human-in-the-loop design.
- The ambition goes beyond Alan. The patterns you build here could define how high-performance companies operate in the AI era.
🛠 YOUR PLAYGROUND
- Stack: Python/Flask, React, PostgreSQL, plus deep integration with LLM APIs and internal AI infrastructure.
- What you'll do: design and ship AI-native tools that power how Alan works. automated workflows, organizational navigation, agentic assistants.
- Impact: your work shapes the daily experience of every Alaner and builds the playbook for the AI-native company.
👥 WHO WE'RE LOOKING FOR
- Software engineers with +5 years of experience, ideally with backend or full-stack experience.
- Genuinely excited about AI and eager to explore what LLMs, agents, and retrieval systems can do inside a real product.
- Comfortable building in fast-moving territory where the right abstractions don't exist yet.
- Well-versed in OOP languages (Python, Java, C#) and modern web technologies.
- Fluent in English (French is a plus but not required).
- Curious, self-starting, humble, collaborative, and eager to grow.
🙌 PERKS & BENEFITS
- Fair rewards & equity packages.
- Flexible office & remote options.
- Top-tier equipment: MacBook Pro, monitor, noise-canceling headphones.
- Flexible vacation & hours.
- Comprehensive healthcare for you, children, and partners.
- Transport support and coaching for personal growth.
- Training budget for conferences, courses, books.
- Extended parental leave for all parents.
🔄 RECRUITMENT NOTE
🌟 We hire people, not roles. Don't worry if you don't check every box. High potential and curiosity matter most. We may even suggest another team if we see a better fit.
🔖 Learn more About Alan https://alan.com/about and on our Career pages https://alan.com/careers, Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE2297653.htm.
#LI-DNP
Location: Clarksville, TN
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
We are seeking a qualified, innovative Production Engineer to join our growing organization. In this position, you will oversee and improve inspection machines in our Assembly Lines. Engineering aptitude, high attention to detail, and the ability to optimize processes for maximum efficiency are necessary skills for this role.
This position pays $63,000 annually
Responsibilities:
The Production Engineering Associate will be tasked with duties including, but not limited to:
Modify Equipment or Processes to maximize efficiency
Develop and draft new Inspection Processes
Prepare layouts for new process, select appropriate machinery, tools and equipment
Review and plan projects from concept review to installation and stabilization
Diagnose equipment breakdown and troubleshoot problems
Educate Employees on proper methods of machinery operation
Communicate with vendors to obtain materials and/or equipment needed to satisfy client's needs
Follow and adhere to all state, federal and company enforced safety rules
Qualifications/Skills:
0-2 years Experience
Bachelors of Electrical Engineering/Manufacturing Engineering/Engineering Technology
Knowledge of systems, robotics, tools, equipment, etc.
Microsoft Office (PowerPoint, Word, Excel)
Experience with CAD Software
Knowledge of Computer or Machine Learning Techniques to build models
Excellent communication skills, both verbally and written
Ability to maintain positive vendor and client relationships
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
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.
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; Illinois; Austin, TX
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 Swedish
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; Washington, D.C.; Los Angeles, CA; Boston, MA; 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 Dutch
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; Chicago, IL; Massachusetts; Austin, TX
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 Danish
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.
Puget Sound Veterinary Specialty + Emergency - Gig Harbor, Washington
San Jose, California, United States
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.
New York; We use an in-person work model and offer relocation assistance to new employees
San Francisco; We use an in-person work model and offer relocation assistance to new employees
Poland
ГибридSan Francisco, California; New York, New York
seniorNew York City, New York
USA
ГибридNew York, NY (HQ); Remote (Canada); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
headHybrid - San Francisco
seniorAnywhere in France, Belgium, Spain
География найма не уточнена
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
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; Illinois; Austin, TX; 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; Washington, D.C.; Los Angeles, CA; Boston, MA; 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; Chicago, IL; Massachusetts; Austin, TX; 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
Автоотклики