Location: Belarus
SaaS Revenue & Financial Analyst — Flosum
About Flosum
Flosum is a Salesforce-native platform company delivering enterprise-grade DevOps, data protection, and security solutions to some of the world's largest organizations. Our product portfolio spans Cloud DevOps, Data Migrator, Data Masking, Data Backup, Org Security, Cloud Trust Center, and Sandbox Synchronization — all built natively on the Salesforce platform. We serve enterprise customers across technology, energy, financial services, healthcare, and federal government. Flosum is a growth-stage company operating with the intensity and speed of a startup backed by the discipline of a mature operator.
The Role
We're hiring a SaaS Revenue & Financial Analyst who will own the measurement layer of our entire business. You will be the person who knows every number — ARR, net retention, expansion, churn, pipeline conversion, cost of acquisition, gross margin by product line, services margin, cash flow, and everything in between. You'll work across Salesforce (our CRM and billing system of record) and QuickBooks (our financial system) to build a unified, always-current picture of company performance.
This is not a reporting role. This is an analytical role where you connect revenue operations data to financial outcomes and surface the insights that drive decisions at the CEO level.
What You'll Own
You will build and maintain our SaaS metrics infrastructure — ARR waterfall, cohort retention analysis, revenue recognition schedules, deferred revenue tracking, and unit economics by segment. You will reconcile Salesforce bookings data against QuickBooks revenue entries and ensure we have a single source of truth across both systems. You will produce monthly and quarterly financial and revenue packages for leadership, including variance analysis against plan. You will model scenarios for pricing changes, product bundling, geographic expansion, and headcount investment. You will monitor pipeline health and translate pipeline data into revenue forecasts with documented assumptions. You will own the data integrity between our CRM and accounting systems, flagging discrepancies before they compound. You will support board-level and investor-level reporting with clean, defensible metrics.
Requirements
What We're Looking For
You have three-plus years of experience in SaaS financial analysis, revenue operations, or FP&A at a B2B software company. You are deeply proficient in Salesforce — not as a user, but as someone who understands opportunity objects, product schedules, contract structures, and reporting at a data level. You are equally proficient in QuickBooks Online, including chart of accounts design, revenue categorization, journal entries, and reconciliation workflows. You understand ASC 606 revenue recognition principles and can apply them to a multi-product SaaS business with annual and multi-year contracts. You can build financial models from scratch in Excel or Google Sheets — not from templates, from logic. You think in terms of cohorts, not just totals. You understand the difference between bookings, billings, and revenue, and you can explain why each matters. You are precise, skeptical of your own numbers, and obsessive about data integrity.
Preferred
Experience at a company with a mix of subscription revenue and professional services. Familiarity with Salesforce CPQ or native Salesforce quoting and contract objects. Exposure to investor or board reporting at a growth-stage company. Experience with Marketo or HubSpot data as it relates to CAC and attribution modeling.
Why Flosum
You'll report directly into the CEO's operating rhythm. Your work will not sit in a queue — it will shape hiring plans, product investment, and go-to-market strategy in real time. Flosum is building the definitive platform for Salesforce lifecycle management, and we need someone who can measure every dimension of that growth with precision.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
We are seeking a seasoned Engineering Manager to lead our Resilience Engineering team. This role is critical in ensuring the safety and reliability of our production systems through proactive validation techniques, including production load testing and chaos engineering.
You will lead the development of systems and practices that allow engineers to safely test system behavior under stress and failure conditions in production, ensuring issues are discovered and mitigated before they impact real users.
What you’ll do
Leadership & Strategy
Define and drive the vision for resilience engineering at Affirm, with a focus on production load testing and chaos engineering as first-class engineering practices.
Lead and mentor a team of engineers building platforms and tooling for safe production experimentation.
Partner with infrastructure, product, and security leadership to embed resilience validation into the software development lifecycle.
Establish best practices for safely testing system limits and failure scenarios in production.
Systems & Operations
Own the design and evolution of platforms that enable safe, controlled production load testing and fault injection.
Ensure strong safeguards are in place, including isolation boundaries, approval workflows, and automated rollback mechanisms to protect real users.
Build systems that provide end-to-end observability, traceability, and auditability for all resilience experiments.
Drive reliability improvements by systematically identifying weaknesses through load testing and chaos experiments.
Establish monitoring, alerting, and incident response practices tailored to proactive resilience validation.
Collaboration & Enablement
Work closely with engineering teams to design and execute production load tests and chaos experiments safely.
Partner with infrastructure teams to build guardrails around tests and experimentations.
Enable teams to adopt resilience practices by providing reusable tooling, frameworks, and standardized workflows.
Identify systemic weaknesses and lead cross-functional efforts to improve reliability and fault tolerance.
Evangelize a culture of “test failure before failure tests you” across the organization.
What we look for
Proven experience leading engineering teams in reliability, infrastructure, or distributed systems.
Hands-on experience with production load testing, chaos engineering, or large-scale system validation.
Experience with leveraging a chaos engineering vendor such as Gremlin, Harness, or something similar.
Strong understanding of failure modes in distributed systems, including latency, partial failure, and cascading outages.
Experience building or operating systems with strong safety guarantees (isolation, rate limiting, guardrails, auditability).
Familiarity with cloud-native environments (AWS, Kubernetes) and observability tooling.
Strong programming background (e.g., Python, Kotlin, Java, or similar).
Excellent problem-solving skills and the ability to balance long-term resilience investments with immediate business needs.
Strong communication and leadership skills, with a track record of influencing engineering practices across teams.
This posting is for an existing vacancy.
Pay Grade - P
Equity Grade - 7
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year:
181,000
-
241,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
We are seeking a seasoned Engineering Manager to lead our Resilience Engineering team. This role is critical in ensuring the safety and reliability of our production systems through proactive validation techniques, including production load testing and chaos engineering.
You will lead the development of systems and practices that allow engineers to safely test system behavior under stress and failure conditions in production, ensuring issues are discovered and mitigated before they impact real users.
What you’ll do
Leadership & Strategy
Define and drive the vision for resilience engineering at Affirm, with a focus on production load testing and chaos engineering as first-class engineering practices.
Lead and mentor a team of engineers building platforms and tooling for safe production experimentation.
Partner with infrastructure, product, and security leadership to embed resilience validation into the software development lifecycle.
Establish best practices for safely testing system limits and failure scenarios in production.
Systems & Operations
Own the design and evolution of platforms that enable safe, controlled production load testing and fault injection.
Ensure strong safeguards are in place, including isolation boundaries, approval workflows, and automated rollback mechanisms to protect real users.
Build systems that provide end-to-end observability, traceability, and auditability for all resilience experiments.
Drive reliability improvements by systematically identifying weaknesses through load testing and chaos experiments.
Establish monitoring, alerting, and incident response practices tailored to proactive resilience validation.
Collaboration & Enablement
Work closely with engineering teams to design and execute production load tests and chaos experiments safely.
Partner with infrastructure teams to build guardrails around tests and experimentations.
Enable teams to adopt resilience practices by providing reusable tooling, frameworks, and standardized workflows.
Identify systemic weaknesses and lead cross-functional efforts to improve reliability and fault tolerance.
Evangelize a culture of “test failure before failure tests you” across the organization.
What we look for
Proven experience leading engineering teams in reliability, infrastructure, or distributed systems.
Hands-on experience with production load testing, chaos engineering, or large-scale system validation.
Experience with leveraging a chaos engineering vendor such as Gremlin, Harness, or something similar.
Strong understanding of failure modes in distributed systems, including latency, partial failure, and cascading outages.
Experience building or operating systems with strong safety guarantees (isolation, rate limiting, guardrails, auditability).
Familiarity with cloud-native environments (AWS, Kubernetes) and observability tooling.
Strong programming background (e.g., Python, Kotlin, Java, or similar).
Excellent problem-solving skills and the ability to balance long-term resilience investments with immediate business needs.
Strong communication and leadership skills, with a track record of influencing engineering practices across teams.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- P
Equity Grade
- 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year:
230,000
-
290,000
USA base pay range (all other U.S. states) per year:
204,000
-
264,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Job Responsibilities
Gateway System Development:
Responsible for the design and evolution of core gateway clusters, encompassing C-end (customer-facing) traffic ingress, internal gRPC traffic governance (east-west traffic), and critical trading pathways.
Extreme Performance Optimization:
In high-throughput, low-latency scenarios, leverage techniques such as zero-copy, lock-free concurrency, efficient memory management, and language-level refactoring to squeeze out every bit of performance, ensuring rock-solid stability during volatile market conditions.
Architecture Design & Refactoring:
Skillfully apply design patterns and architectural principles to build modular, extensible gateway components, continuously improving code quality and system decoupling.
End-to-End Project Delivery:
Demonstrate strong ownership — independently drive the entire lifecycle from design review, core development, through to production release, ensuring full follow-through from start to finish.
Technical Communication & Feedback:
Maintain a high degree of transparency on technical solutions and project progress, ensuring that technical risks and key milestones are communicated promptly and accurately, creating a closed feedback loop.
Requirements
Programming Languages:
Proficiency in Go or C++; solid experience with high-performance network programming and common protocols (TCP/UDP, WebSocket).
Low-Level Fundamentals:
Deep understanding of asynchronous programming models; strong command of common data structures and algorithms with the ability to apply them effectively to performance optimization.
Gateway Experience:
Familiarity with the architecture and internals of mainstream gateways (e.g., Envoy, Kong, Nginx), with the ability to develop or customize core gateway components.
Design Patterns & Architecture:
Excellent architectural design skills; adept at applying design patterns to solve complex business logic; strong coding discipline and documentation practices.
Execution & Professionalism:
Exceptional execution ability and commitment to team agreements; capable of both independent thinking to propose improvements and strict adherence to technical standards and established decisions.
Core Traits:
Strong risk awareness and defensive programming habits, with a relentless pursuit of logical rigor in code; outstanding proactive communication skills to ensure work progresses as planned.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: United States
SingleStore engineers build the real-time data platform powering some of the world’s most demanding applications. Our cloud-native architecture enables high-performance transactional and analytical workloads at scale, and our teams ship production code continuously throughout the year.
We operate in a fast-moving, highly collaborative environment where engineers own their work end-to-end and partner closely across Product, Sales, and Go-To-Market teams to deliver meaningful business impact.
Position Summary
SingleStore engineers build the real-time data platform that enables some of the world’s most demanding applications. Our cloud-native database architecture enables high-performance transactional and analytical workloads at scale.
Our Software Engineers work on small, collaborative teams to help drive our company forward. Whether you’re improving the fault tolerance of a SingleStore cluster, accelerating the performance of SQL queries with techniques like SIMD vectorization and LLVM codeGen, or writing search and costing modules for the query optimizer, our engineers are responsible for building systems critical to high performance workloads.
Note: This role is open across multiple levels. Final leveling (Senior, Staff, or Principal) will be determined based on experience, scope of impact, and demonstrated technical leadership throughout the interview process.
Role and Responsibilities
Develop database engine features based on company direction and customer requests to ensure that requirements are met in a timely manner
Deliver bug-free code in a low-level, unmanaged memory C++ environment
Translate high-level customer requirements into actionable and deliverable software features
Learn, propose, and adapt cutting-edge technologies from across industry and academia into SingleStore’s database architecture for ensuring optimal performance and throughput for customer workloads in both analytical and transactional scenarios
Design and execute comprehensive test plans to evaluate database engine functionality, ensuring thorough coverage and accuracy, using Python, C++, and SQL
Use low-level debugging techniques including GDB and Flame graphs to fix problems and improve performance
Work on distributed systems algorithms and problems/components of core database engine behind SingleStore
Take part in code reviews and design reviews for the purpose of software quality assurance
Required Skills and Experience
5+ years of experience developing and debugging system-level software in unmanaged languages like C++ or Rust
Bachelor’s degree in Computer Science or equivalent practical experience.
Demonstrated ability to design and build highly reliable, high-performance system software.
Preferred Qualifications
Knowledge of database architecture and operating systems
Familiarity with distributed systems managed via Kubernetes
SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
SingleStore’s total salary range for this role, if based in Boston, Chicago, New York, Austin, Phoenix, Las Vegas, Seattle, Washington, or Dallas is: $140,000 - $215,000 USD per year
Req ID: ENG00470
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHO WE ARE LOOKING FOR
Everyone at Higgsfield is an A-player. We’re looking for teammates who bring:
- A sharp design sense and the ability to turn complex product ideas into fluid, intuitive interfaces.
- Curiosity for the newest AI-driven UX patterns, frameworks, and tools.
- Resilience and focus in a high-intensity startup environment.
- A drive to explore and adopt new frontend frameworks and AI-assisted dev tools.
WHAT YOU WILL WORK ON
- Build the core interfaces of Higgsfield products — from rapid prototypes to production-ready UIs used by millions of people every day
- Turn pixel-perfect designs from Figma into fast, dynamic interfaces where every detail works as well as it looks
- Design and optimize complex UI systems, including timelines, editors, and interfaces with large volumes of video and media
- Develop a scalable frontend architecture and evolve our design system and component library
- Make the interface максимально fast and responsive: minimal bundle size, instant loading, and smooth interactions
- Ensure product quality through unit, integration, and end-to-end tests for key user scenarios
YOUR MUST HAVES
- Experience building complex software and teaming up with others to get it done
- Strong communication, collaboration, and commitment to completing projects
- Advanced expertise in Typescript, React, NextJS, CSS
- Responsive, cross-browser layout & design systems
- Experience optimizing media storage, caching, and delivery performance
- Experience working with Cloud: Vercel, AWS, Cloudflare
- Knowledge of CI/CD, bundlers, profiling, performance optimization
- Willingness to work in a fast-paced startup environment.
THE DEAL
- Top-of-market compensation in USD.
- Meaningful stock options with significant upside.
- Small team, high autonomy, and outsized impact.
- On-site role in our Almaty office (we will relocate you from anywhere).
Location: United States, Santa Monica, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
This is a hybrid/ onsite position.
For nearly 40 years, Naughty Dog has been crafting best-selling, critically acclaimed games that constantly push the boundaries of narrative, gameplay, and technology. Naughty Dog recently released The Last of Us Part II Remastered as well as a current generation remake of The Last of Us Part I for the PS5. We're also proud to say that The Last of Us Parts I and II are now available for the first time on PC. Currently, we’re busy at the kennel working on Intergalactic: The Heretic Prophet, and we’d love to find talented individuals to join us.
Naughty Dog games have long been lauded for their evocative, character-driven stories and attention to detail. We are committed to innovation within our games and as such have curated some of the top creative and technically innovative minds in the industry. We welcome diverse candidates and believe that a broad range of cultural and life experiences contribute to the overall well-being and success of the studio and the titles we craft together.
What you will do:
Prototyping, implementing, and owning gameplay scenarios, narrative sequences, interactive objects, AI behaviors, and other mechanics and systems.
Communicating with animation, programming, and art departments to effectively produce the assets and code support required for the areas you’re owning.
Fostering team cohesion, advising design leadership regarding communication breakdowns and personality conflicts.
Working with minimal supervision while keeping lead designers and directors well-informed.
What skills you will use:
5+ years of industry experience in Technical Design for games
2+ shipped games
Significant programming ability (Computer Science undergraduate degree preferred)
Deep understanding of narrative principles and how to convey emotion through gameplay
Expertise in 3D math
Fluent in C++, C#, Lua, or other text-based scripting language
Ability to identify and act on opportunities for improvements to tools and workflows that can help the team be more efficient
Self-starter with excellent communication and teamwork skills
Bachelors degree or equivalent
Bonus Skills:
Experience developing third-person action games
Experience with the following areas of design
Behavior Trees
Narrative Gameplay Sequences
Encounter Design
#LI-SP3
The estimated USA base pay range for this zone (Los Angeles area) is listed below. This role may be eligible for additional compensation packages that includes annual bonus and other incentive plans.
$145,100
—
$181,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Montreal, Canada
The company offers
full relocation support
, including immigration assistance.
Tasks:
The Senior FDIR-FSW Engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate.
· Define the fault detection actions of the platform at the system and subsystem levels.
· Define and document how the platform will interfact with the payload for satellite level FDIR.
· Work with the operations team to define the contingency scenarios involving FDIR.
· Work with customers to use their input for FDIR strategy to refine MDA’s FDIR strategy ensuing that the strategies are compatible.
· Work with the FSW team to determine the FDIR test plan on the FlatSat and DSS.
· Work with the AI&T team to determine what FDIR needs to be tested at the spacecraft level.
· Work with system, subsystems, payload, and units teams to review FMECAs and provide feedback on the detection, isolation, and recovery of failures modes.
· Provide input to the Operations team for Operations Procedures, Operations Manuals, and Satellite test procedures to ensure that the Operations documents and FDIR strategy are aligned.
· Review ICDs to provide inputs to the satellite DB team for parameters and monitors.
· Review payload, platform, and subsystem design; including block diagrams, ICDs, ConOps, and requirement to ensure that the design is compliant with FDIR requirements.
· Review Operations Procedures to ensure that they algin with the FDIR strategy.
· Review FDIR test artifacts to determine if the tests are successful and if they are not, work with the team to troubleshoot how to resolve non compliances.
· Verification & Validation Matrices for platform and payload FDIR requirements.
· Support the payload team in their definition of payload FDIR and how it impacts the satellite level FDIR.
· Support the operations team as needed for In-Orbit Test (IOT), anomaly resolution + FDIR.
· Support the ICD development activities both HW and SW/DB
Must haves
· Bachelor’s degree in electrical engineering, computer science or in a relevant field
· At least 10 years of relevant practical experience – Can be supplemented with higher degrees relevant to Engineering.
· Previous experience with LEO/MEO satellite systems.
· Strong cross-functional team collaboration.
· Experience with analysis of satellite systems and subsystems.
· Familiarity and/or experience with FMECAs and/or Fault Tree Analysis.
· An understanding of how failures can propagate through a system.
· Ability to decompose system level failures down to the unit level and back up from the unit to the system level.
· Knowledge of satellite FSW and how monitors work for FDIR.
· Knowledge of how to test HW and SW for FDIR.
Complementary skills/knowledge
· Previous experience in Constellation FDIR
· Creation of Fault Trees and FMECAs
· Experience with reliability analysis
· Working knowledge of PUS services
· Experience with mentoring junior engineers
· Experience with FDIR on embedded systems
· Experience with payload FDIR.
· Knowledge of MS Excel, for the purposes of engineering analyses
· Knowledge of requirements Management tools such as DOORS/Windchill/Jama
· Demonstrated capability to efficiently work with little to no supervision
· Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Torino, Italy; Roma, Italy; Napoli, Italy; Venezia, Italy; Bologna, Italy; Palermo, Italy; Milan, Italy
Workplace: remote
Kodland is a digital platform that connects tutors and children aged 5 to 17 from all over the world, teaching game development (Unity/Roblox), programming (Scratch/Python), web programming (JavaScript, HTML, CSS), and digital design (Blender/Photoshop). Kodland's goal is to prepare children for the future. We help them learn skills that prepare them to excel in their careers and develop their
interests. It
is present in 40 countries with more than 30,000 students.
Who we are looking for:
An online teacher who will be responsible for teaching based on the provided scenarios and materials.
You can teach up to 10-15 hours per week and share your experience with the kids! It's something interesting.
Lesson duration: 60 minutes;
Format: group lessons, 1-1 lessons on Zoom.
You are the ideal candidate for this position if:
Knowledge of graphic editors: Adobe Photoshop, Figma, Canva
No teaching experience is required, but to be invited for an interview you must complete a digital skills test (which will be sent after applying).
You must demonstrate knowledge of digital design such as animation, illustration, 3D/2D objects, Scratch.
You can improve your skills and we would like to invite you to learn Scratch or Roblox with us.
You are available to work in the afternoon and evening, both on weekdays and weekends.
You are able to work independently.
You want to become a positive, influential, and straightforward ambassador for Kodland.
Please note:
You will be working with the Kodland International team, so make sure your English is at least B2 and that you are a native speaker of your region.
What we offer:
Supportive, fun, young team
Scripts and materials for all lessons
Commitment to personal and professional development with regular training courses
Discounted lessons for friends and family
You have the opportunity to learn Roblox with us
This is a remote job, so you will need a personal laptop with a camera, microphone, a stable internet connection, and a quiet place to work.
Note:
If your application is considered suitable, you will receive an email from us in the coming days inviting you for an interview. So please check your email inbox, including your spam folder.
To learn more about us and the position, click here
https://www.kodland.org/it/tutors26
Location: Goodyear, United States
Workplace: onsite
Location:
Goodyear, Arizona
Employment Type:
Part-Time, Adjunct Faculty
Instructional Format:
Hybrid and Online Graduate Courses
Position Summary
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.
Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.
We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.
Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide.
Avila University Arizona is seeking a dedicated and qualified Adjunct Instructor in Accounting to join our graduate faculty in Goodyear, Arizona.
The successful candidate will primarily teach AC 601 – Financial Accounting for Decision Making, a graduate-level course designed to develop students' understanding of accounting principles, financial reporting, and the use of financial information in business decision-making.
The ideal candidate will possess a strong academic background in accounting, substantial professional experience in financial accounting or related business functions, and a passion for teaching and mentoring adult learners in accelerated graduate programs.
Successful candidates will be considered for inclusion in our adjunct faculty pool. Teaching assignments will be determined based on course availability, enrollment, and institutional needs.
Primary Teaching Assignment
This graduate-level course introduces essential accounting concepts and procedures that support effective organizational decision-making. The course emphasizes the preparation, interpretation, and analysis of accounting information to evaluate organizational performance and inform management decisions.
Faculty should be prepared to teach topics including:
Fundamental financial accounting principles and concepts
Accounting transactions and the accounting cycle
Preparation and interpretation of financial statements
Financial reporting and accounting standards
Analysis of financial information for business decision-making
Financial performance evaluation and organizational effectiveness
The role of accounting information across business functions
Ethical considerations and the impact of globalization on accounting practices
Practical applications of accounting through real-world business cases
The instructor is expected to connect accounting theory with contemporary business practices, helping graduate students develop analytical, critical-thinking, and financial decision-making skills applicable to management and leadership roles.
Responsibilities
Instruction & Delivery
Deliver high-quality graduate-level accounting instruction through online and hybrid formats, incorporating in-person, synchronous, and asynchronous learning activities.
Apply effective teaching strategies appropriate for accelerated graduate programs and adult learners with diverse professional and academic backgrounds.
Explain complex financial accounting concepts clearly and demonstrate their practical application to organizational decision-making.
Incorporate real-world financial statements, business cases, accounting scenarios, and financial analysis exercises into instruction.
Develop and facilitate engaging learning activities that strengthen students' accounting knowledge, analytical reasoning, and problem-solving abilities.
Assess student performance through assignments, examinations, case studies, and other appropriate evaluation methods.
Mentorship & Student Support
Provide timely, constructive feedback on student assignments and assessments.
Support students with varying levels of prior accounting knowledge.
Assist students in developing confidence in interpreting financial information and applying accounting principles.
Foster a supportive, inclusive, and collaborative learning environment that encourages critical thinking and professional development.
Collaboration & Coordination
Collaborate with academic leadership and other faculty members to ensure course delivery aligns with approved curriculum, learning outcomes, and institutional academic standards.
Communicate regularly with the Academic Department regarding student progress, instructional needs, and course-related concerns.
Participate in faculty meetings, onboarding, and professional development activities as required.
Contribute recommendations for improving accounting instruction based on industry practices and student learning needs.
Professional Development
Maintain current knowledge of financial accounting standards, regulatory developments, and contemporary accounting practices.
Engage in professional development related to graduate teaching, instructional technologies, and assessment strategies.
Incorporate relevant industry developments and professional accounting practices into course instruction.
Administrative Duties
Maintain accurate and timely records of student grades, attendance, and academic performance in the university's learning management system.
Submit grades, attendance, and other required academic documentation according to institutional deadlines.
Ensure compliance with university academic policies, procedures, and accreditation requirements.
Participate in course assessment and continuous improvement activities as requested.
Qualifications
Required Qualifications
Doctorate in Accounting, Business Administration with an Accounting concentration, or a closely related field. A Master's degree in Accounting or a closely related field, combined with
10 or more years of significant professional accounting experience
, may be considered in lieu of a doctorate.
Minimum of
5 years of relevant professional experience
in financial accounting, corporate accounting, financial reporting, auditing, financial management, or a closely related field.
Strong knowledge of financial accounting principles, financial statement preparation and analysis, and the use of accounting information in business decision-making.
Demonstrated ability to communicate technical accounting concepts clearly to students with diverse academic and professional backgrounds.
Strong communication, organizational, collaboration, and time-management skills.
Ability to deliver effective instruction using online and hybrid teaching technologies.
Preferred Qualifications
Certified Public Accountant (CPA) designation or an equivalent recognized professional accounting credential.
Previous teaching, training, or adjunct faculty experience at the undergraduate or graduate level.
Experience teaching accounting or financial management to MBA students or adult professionals.
Professional experience in corporate finance, financial reporting, auditing, controllership, or management accounting.
Familiarity with accounting software, financial reporting technologies, and spreadsheet-based financial analysis.
Experience using Canvas or a comparable learning management system.
Experience developing practical accounting exercises, financial statement analysis assignments, and case-based learning activities.
Terms of Employment
Employment Classification:
Adjunct Faculty
FLSA Status:
Exempt
Teaching assignments are subject to institutional needs, course availability, enrollment, and faculty qualifications. Instruction may include online and scheduled on-campus components at the Goodyear, Arizona location.
Additional Position Requirements
Communication:
Maintains professional communication with university faculty, staff, students, and external constituents. Uses institutional technology effectively in the performance of assigned duties.
Reasoning Ability:
Demonstrates the ability to solve practical problems, interpret financial and academic information, analyze data, and exercise independent judgment when addressing instructional challenges.
Language Skills:
Must be able to read, write, understand, and communicate effectively in English. Must demonstrate the ability to explain accounting concepts, interpret professional and academic materials, and provide clear written and verbal feedback.
Physical Demands:
The physical demands described here are representative of those required to perform the essential functions of the position. Duties may involve sitting, standing, moving within an office or classroom environment, using a computer and keyboard, reading instructional materials, and communicating in person or through video technology. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Work Environment:
Work may be performed in classroom, office, and remote instructional environments. The typical noise level in the workplace is moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Other Skills/Abilities:
Ability to establish and maintain effective working relationships with university faculty, staff, students, and external stakeholders. Demonstrates professionalism, independent problem-solving abilities, and sound academic judgment.
Evaluation:
Performance will be evaluated in accordance with Avila University policies and applicable adjunct faculty expectations.
Equal Employment Opportunity Statement
The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position.
Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations.
The information contained in this job description is intended to describe the general nature and level of work performed and is not an exhaustive list of duties and responsibilities. Additional responsibilities may be assigned based on institutional needs.
Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions, or assign additional responsibilities.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: Goodyear, United States
Workplace: onsite
Location:
Goodyear, Arizona
Employment Type:
Part-Time, Adjunct Faculty
Instructional Format:
Hybrid and Online Graduate Courses
Position Summary
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.
Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.
We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.
Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide.
Avila University Arizona is seeking a dedicated and qualified Adjunct Instructor in Accounting to join our graduate faculty in Goodyear, Arizona.
The successful candidate will primarily teach AC 601 – Financial Accounting for Decision Making, a graduate-level course designed to develop students' understanding of accounting principles, financial reporting, and the use of financial information in business decision-making.
The ideal candidate will possess a strong academic background in accounting, substantial professional experience in financial accounting or related business functions, and a passion for teaching and mentoring adult learners in accelerated graduate programs.
Successful candidates will be considered for inclusion in our adjunct faculty pool. Teaching assignments will be determined based on course availability, enrollment, and institutional needs.
Primary Teaching Assignment
This graduate-level course introduces essential accounting concepts and procedures that support effective organizational decision-making. The course emphasizes the preparation, interpretation, and analysis of accounting information to evaluate organizational performance and inform management decisions.
Faculty should be prepared to teach topics including:
Fundamental financial accounting principles and concepts
Accounting transactions and the accounting cycle
Preparation and interpretation of financial statements
Financial reporting and accounting standards
Analysis of financial information for business decision-making
Financial performance evaluation and organizational effectiveness
The role of accounting information across business functions
Ethical considerations and the impact of globalization on accounting practices
Practical applications of accounting through real-world business cases
The instructor is expected to connect accounting theory with contemporary business practices, helping graduate students develop analytical, critical-thinking, and financial decision-making skills applicable to management and leadership roles.
Responsibilities
Instruction & Delivery
Deliver high-quality graduate-level accounting instruction through online and hybrid formats, incorporating in-person, synchronous, and asynchronous learning activities.
Apply effective teaching strategies appropriate for accelerated graduate programs and adult learners with diverse professional and academic backgrounds.
Explain complex financial accounting concepts clearly and demonstrate their practical application to organizational decision-making.
Incorporate real-world financial statements, business cases, accounting scenarios, and financial analysis exercises into instruction.
Develop and facilitate engaging learning activities that strengthen students' accounting knowledge, analytical reasoning, and problem-solving abilities.
Assess student performance through assignments, examinations, case studies, and other appropriate evaluation methods.
Mentorship & Student Support
Provide timely, constructive feedback on student assignments and assessments.
Support students with varying levels of prior accounting knowledge.
Assist students in developing confidence in interpreting financial information and applying accounting principles.
Foster a supportive, inclusive, and collaborative learning environment that encourages critical thinking and professional development.
Collaboration & Coordination
Collaborate with academic leadership and other faculty members to ensure course delivery aligns with approved curriculum, learning outcomes, and institutional academic standards.
Communicate regularly with the Academic Department regarding student progress, instructional needs, and course-related concerns.
Participate in faculty meetings, onboarding, and professional development activities as required.
Contribute recommendations for improving accounting instruction based on industry practices and student learning needs.
Professional Development
Maintain current knowledge of financial accounting standards, regulatory developments, and contemporary accounting practices.
Engage in professional development related to graduate teaching, instructional technologies, and assessment strategies.
Incorporate relevant industry developments and professional accounting practices into course instruction.
Administrative Duties
Maintain accurate and timely records of student grades, attendance, and academic performance in the university's learning management system.
Submit grades, attendance, and other required academic documentation according to institutional deadlines.
Ensure compliance with university academic policies, procedures, and accreditation requirements.
Participate in course assessment and continuous improvement activities as requested.
Qualifications
Required Qualifications
Doctorate in Accounting, Business Administration with an Accounting concentration, or a closely related field. A Master's degree in Accounting or a closely related field, combined with
10 or more years of significant professional accounting experience
, may be considered in lieu of a doctorate.
Minimum of
5 years of relevant professional experience
in financial accounting, corporate accounting, financial reporting, auditing, financial management, or a closely related field.
Strong knowledge of financial accounting principles, financial statement preparation and analysis, and the use of accounting information in business decision-making.
Demonstrated ability to communicate technical accounting concepts clearly to students with diverse academic and professional backgrounds.
Strong communication, organizational, collaboration, and time-management skills.
Ability to deliver effective instruction using online and hybrid teaching technologies.
Preferred Qualifications
Certified Public Accountant (CPA) designation or an equivalent recognized professional accounting credential.
Previous teaching, training, or adjunct faculty experience at the undergraduate or graduate level.
Experience teaching accounting or financial management to MBA students or adult professionals.
Professional experience in corporate finance, financial reporting, auditing, controllership, or management accounting.
Familiarity with accounting software, financial reporting technologies, and spreadsheet-based financial analysis.
Experience using Canvas or a comparable learning management system.
Experience developing practical accounting exercises, financial statement analysis assignments, and case-based learning activities.
Terms of Employment
Employment Classification:
Adjunct Faculty
FLSA Status:
Exempt
Teaching assignments are subject to institutional needs, course availability, enrollment, and faculty qualifications. Instruction may include online and scheduled on-campus components at the Goodyear, Arizona location.
Additional Position Requirements
Communication:
Maintains professional communication with university faculty, staff, students, and external constituents. Uses institutional technology effectively in the performance of assigned duties.
Reasoning Ability:
Demonstrates the ability to solve practical problems, interpret financial and academic information, analyze data, and exercise independent judgment when addressing instructional challenges.
Language Skills:
Must be able to read, write, understand, and communicate effectively in English. Must demonstrate the ability to explain accounting concepts, interpret professional and academic materials, and provide clear written and verbal feedback.
Physical Demands:
The physical demands described here are representative of those required to perform the essential functions of the position. Duties may involve sitting, standing, moving within an office or classroom environment, using a computer and keyboard, reading instructional materials, and communicating in person or through video technology. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Work Environment:
Work may be performed in classroom, office, and remote instructional environments. The typical noise level in the workplace is moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Other Skills/Abilities:
Ability to establish and maintain effective working relationships with university faculty, staff, students, and external stakeholders. Demonstrates professionalism, independent problem-solving abilities, and sound academic judgment.
Evaluation:
Performance will be evaluated in accordance with Avila University policies and applicable adjunct faculty expectations.
Equal Employment Opportunity Statement
The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position.
Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations.
The information contained in this job description is intended to describe the general nature and level of work performed and is not an exhaustive list of duties and responsibilities. Additional responsibilities may be assigned based on institutional needs.
Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions, or assign additional responsibilities.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Chicago, IL; Boston, MA; Washington, D.C.
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality 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: $38/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level Portuguese (Portugal) language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
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.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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 is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality 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: $38/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level Spanish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
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.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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 is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality 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: $38/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level German language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
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.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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 is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality 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: $38/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level Italian language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
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.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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 is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality 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: $38/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level Turkish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
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.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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 is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title: Data Quality 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: $38/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Support quality and execution across DLA teams, ensuring work meets defined standards at scale
Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
Act as the first line of support for DLAs — answering questions and helping interpret guidelines
Help DLAs navigate ambiguity and apply evolving instructions effectively
Support onboarding and training of new DLAs through hands-on guidance and coaching
Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
Identify patterns, recurring issues, and edge cases in both human and model outputs
Participate in calibrations, team discussions, and stakeholder syncs
Contribute to improving guidelines, processes, and overall team performance
Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
Native-level language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
2–4 years of experience in data annotation, content quality, QA, or related fields
Strong ability to interpret and apply complex guidelines with consistency
Excellent attention to detail with a high bar for quality
Ability to stay consistent while working with evolving guidelines and priorities
Experience in AI/ML data workflows or human-in-the-loop evaluation environments
Prior experience auditing or reviewing the work of others
Familiarity with safety, compliance, or policy-driven content evaluation
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.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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 is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
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 sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
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: $34/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Portuguese (Brazil) proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
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.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
УдалённоRemote Canada
УдалённоRemote US
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Chicago, IL; Boston, MA; Washington, D.C.; 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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; 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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; 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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; 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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; 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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; 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, Austin, Los Angeles, Washington DC, Chicago, Boston, 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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
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