Data Contributor Jobs at Scale AI with Visa Sponsorship
Data Contributor jobs at Scale AI sit at the intersection of human expertise and AI training, spanning tasks like data annotation, quality review, and domain-specific labeling. Scale AI actively sponsors international workers across multiple visa categories for these roles, making it a realistic target if you're navigating a work authorization timeline.
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Get Access To All JobsINTRODUCTION
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team.
ROLE AND RESPONSIBILITIES
In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will:
- Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
- Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
- Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers.
BASIC QUALIFICATIONS
Ideally you’d have:
- 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
- Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
- Show a track record of mentoring and leading teams in successful projects.
- Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
- Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
- Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.
- Experience driving cross functional collaboration and communication at an organizational or broader level.
PREFERRED QUALIFICATIONS
Nice to haves:
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
- Experience with performance tuning and cost optimizations of cloud based data platforms.
- Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs.
- Experience scaling products at hyper-growth startups.
- Excitement to work with AI technologies.
COMPENSATION
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $248,400—$310,500 USD
LOCATION
Please reference the job posting's subtitle for where this position will be located.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
INTRODUCTION
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team.
ROLE AND RESPONSIBILITIES
In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will:
- Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
- Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
- Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers.
BASIC QUALIFICATIONS
Ideally you’d have:
- 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
- Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
- Show a track record of mentoring and leading teams in successful projects.
- Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
- Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
- Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.
- Experience driving cross functional collaboration and communication at an organizational or broader level.
PREFERRED QUALIFICATIONS
Nice to haves:
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
- Experience with performance tuning and cost optimizations of cloud based data platforms.
- Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs.
- Experience scaling products at hyper-growth startups.
- Excitement to work with AI technologies.
COMPENSATION
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $248,400—$310,500 USD
LOCATION
Please reference the job posting's subtitle for where this position will be located.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
See all Data Contributor Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor Jobs at Scale AI.
Get Access To All JobsTips for Finding Data Contributor Jobs at Scale AI
Align your domain expertise with active projects
Scale AI hires Data Contributors for specialized verticals like coding, legal, and scientific reasoning. Tailor your application to the specific task category that matches your academic or professional background, not just general data labeling experience.
Verify your OPT start date before applying
F-1 OPT authorization must be active before your first day. If you're within 90 days of your program end date, confirm your EAD card arrival timeline with your DSO so you don't accept an offer you can't legally start.
Confirm H-1B sponsorship before advancing in interviews
Scale AI sponsors H-1B visas for Data Contributors, but not every team or contract structure qualifies as a specialty occupation. Ask your recruiter directly whether the specific role is eligible for H-1B sponsorship before completing later interview rounds.
Time your application around the H-1B registration window
USCIS opens H-1B registration each March for October 1 start dates. If you're targeting Scale AI and need H-1B sponsorship, aim to have an offer finalized by late February so your employer can register you in time.
Use Migrate Mate to filter open roles by visa type
Scale AI posts Data Contributor openings frequently, but availability shifts quickly. Use Migrate Mate to filter current Scale AI listings by the visa categories you hold or need sponsored, so you're applying to roles that match your authorization situation.
Request your LCA filing details after receiving an offer
For H-1B and E-3 offers, your employer files a Labor Condition Application with the DOL before USCIS processing begins. Ask HR for the certified LCA once filed so you can confirm the prevailing wage tier and job classification match what you were offered.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Data Contributors?
Yes, Scale AI sponsors H-1B visas for Data Contributor roles. Whether a specific position qualifies as a specialty occupation depends on the job duties and degree requirements attached to that role. Confirm with the recruiter early in your process that the Data Contributor opening you're targeting is structured for H-1B eligibility, since project-based or contractor-style roles can vary.
How do I apply for Data Contributor jobs at Scale AI?
Scale AI posts Data Contributor openings through its careers portal, and listings turn over frequently. Migrate Mate aggregates these roles and lets you filter by visa type, so you can identify which open positions align with your work authorization. Apply directly through Scale AI's official site once you've identified a matching role, and be ready to specify your visa status early in the application.
Which visa types are commonly used for Data Contributor roles at Scale AI?
Scale AI sponsors a range of visa categories for Data Contributors, including H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT for students, J-1 visa for exchange visitors, and employment-based Green Cards through EB-2 or EB-3 pathways. The right category depends on your nationality, educational background, and career stage.
What qualifications does Scale AI expect for Data Contributor roles?
Qualifications vary by project vertical. Roles in coding, scientific, or legal data tasks typically require a bachelor's degree or higher in a relevant field, plus demonstrated domain fluency. Some positions emphasize annotation accuracy and quality metrics over formal credentials. Reviewing active job postings carefully is important because Scale AI scopes requirements differently across its AI training product lines.
How do I time the visa process when targeting a Data Contributor role at Scale AI?
Timing depends on your visa category. F-1 OPT requires your EAD card before your start date, which can take 90 or more days from application. H-1B sponsorship ties to the annual April lottery and an October 1 start date. E-3 and TN can be processed faster, sometimes within weeks. Align your job search timeline to your specific category's processing window to avoid gaps in work authorization.