Data Contributor Jobs at Scale AI with Visa Sponsorship
Data Contributor roles 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
Scale's Finance Analytics and Systems team is looking for a builder-oriented team member to help design and develop internal tools and AI agents that automate workflows across finance and accounting.
In this role, you will work closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turnaround times with higher degrees of accuracy.
You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform as well as emerging AI tools.
We're looking for someone who enjoys solving complex problems, building systems from the ground up, and translating ambiguous business needs into scalable technical solutions, with strong attention to detail and a rigorous approach towards validating results.
KEY RESPONSIBILITIES
- Design and develop end-to-end agent-driven workflows that automate finance and accounting processes, and improve operational efficiency
- Build scalable data models and pipelines that serve as the foundation for analytics assets (e.g., dashboards), agentic workflows and system automations
- Partner with stakeholders across finance, accounting, and customer operations to translate business requirements into technical requirements and system designs
- Collaborate with engineering teams in the development of internal tools to improve Scale's financial system infrastructure
- Evangelize and support the adoption of AI-enabled automation across finance and accounting teams
BASIC QUALIFICATIONS
- 5+ years of experience in data analytics, analytics engineering, or data science roles (supporting finance teams is a plus)
- Expert knowledge of SQL and Python for data analysis and modeling
- Experience building internal tools, automation systems, or data products
- Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create foundational data models
- Experience partnering with engineering and business stakeholders to automate manual workflows
- Strong problem-solving skills and the ability to operate independently in a fast-paced environment
- Excellent communication skills and experience working cross-functionally with business stakeholders
- Familiarity with finance or accounting terminology
- Experience with BI tools such as Tableau, Metabase, or Looker
- Familiarity with JavaScript and modern automation tooling is a plus but not required
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
Scale's Finance Analytics and Systems team is looking for a builder-oriented team member to help design and develop internal tools and AI agents that automate workflows across finance and accounting.
In this role, you will work closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turnaround times with higher degrees of accuracy.
You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform as well as emerging AI tools.
We're looking for someone who enjoys solving complex problems, building systems from the ground up, and translating ambiguous business needs into scalable technical solutions, with strong attention to detail and a rigorous approach towards validating results.
KEY RESPONSIBILITIES
- Design and develop end-to-end agent-driven workflows that automate finance and accounting processes, and improve operational efficiency
- Build scalable data models and pipelines that serve as the foundation for analytics assets (e.g., dashboards), agentic workflows and system automations
- Partner with stakeholders across finance, accounting, and customer operations to translate business requirements into technical requirements and system designs
- Collaborate with engineering teams in the development of internal tools to improve Scale's financial system infrastructure
- Evangelize and support the adoption of AI-enabled automation across finance and accounting teams
BASIC QUALIFICATIONS
- 5+ years of experience in data analytics, analytics engineering, or data science roles (supporting finance teams is a plus)
- Expert knowledge of SQL and Python for data analysis and modeling
- Experience building internal tools, automation systems, or data products
- Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create foundational data models
- Experience partnering with engineering and business stakeholders to automate manual workflows
- Strong problem-solving skills and the ability to operate independently in a fast-paced environment
- Excellent communication skills and experience working cross-functionally with business stakeholders
- Familiarity with finance or accounting terminology
- Experience with BI tools such as Tableau, Metabase, or Looker
- Familiarity with JavaScript and modern automation tooling is a plus but not required
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.
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Get Access To All JobsTips for Finding Data Contributor Jobs at Scale AI Jobs
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.
Data Contributor at Scale AI jobs are hiring across the US. Find yours.
Find Data Contributor at Scale AI JobsFrequently 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 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT and CPT for students, J-1 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.
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