Data Scientist Jobs at Scale AI with Visa Sponsorship
Data Scientist jobs at Scale AI involve building the data pipelines and evaluation systems that train frontier AI models. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, E-3 visa, and OPT pathways from offer through filing.
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Get Access To All JobsINTRODUCTION
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.
ROLE AND RESPONSIBILITIES
As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers. For example, you might:
- Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties.
- Develop interpretability-informed evaluations that reveal how and why models produce unsafe, deceptive, or otherwise undesirable behaviors, and use those insights to guide targeted mitigations.
- Collaborate with policymakers, engineers, and other researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices.
BASIC QUALIFICATIONS
- Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
- Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.
- A track record of published research in machine learning, particularly in generative AI.
- At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
- Strong written and verbal communication skills to operate in a cross-functional team.
PREFERRED QUALIFICATIONS
- Experience with mechanistic interpretability, probing, or other techniques for understanding model internals.
- Familiarity with red-teaming or adversarial evaluation of post-trained models.
- Experience studying failure modes introduced or masked by post-training, such as reward hacking, sycophancy, or alignment faking.
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.
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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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.
LOCATION
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000—$270,000 USD
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
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.
ROLE AND RESPONSIBILITIES
As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers. For example, you might:
- Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties.
- Develop interpretability-informed evaluations that reveal how and why models produce unsafe, deceptive, or otherwise undesirable behaviors, and use those insights to guide targeted mitigations.
- Collaborate with policymakers, engineers, and other researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices.
BASIC QUALIFICATIONS
- Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
- Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.
- A track record of published research in machine learning, particularly in generative AI.
- At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
- Strong written and verbal communication skills to operate in a cross-functional team.
PREFERRED QUALIFICATIONS
- Experience with mechanistic interpretability, probing, or other techniques for understanding model internals.
- Familiarity with red-teaming or adversarial evaluation of post-trained models.
- Experience studying failure modes introduced or masked by post-training, such as reward hacking, sycophancy, or alignment faking.
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.
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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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.
LOCATION
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000—$270,000 USD
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 Scientist Jobs at Scale AI
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Get Access To All JobsTips for Finding Data Scientist Jobs at Scale AI
Frame Your ML Annotation Experience Precisely
Scale AI's Data Scientist roles often sit at the intersection of model evaluation and data labeling infrastructure. Tailor your resume to highlight experience with RLHF pipelines, benchmark dataset construction, or human feedback systems rather than generic ML modeling.
Target Roles Tied to Foundation Model Teams
Scale AI structures data science work around specific model customers and internal research initiatives. Search for openings tied to generative AI, red-teaming, or model quality rather than applying broadly to every Data Scientist listing on their careers page.
Verify Your OPT Timing Before Signing
If you're on F-1 OPT, confirm your remaining authorization window against Scale AI's typical onboarding timeline. STEM OPT extensions give you up to 24 additional months, but your employer must be E-Verify enrolled, which Scale AI is, so confirm before your start date.
Prepare a Specialty Occupation Evidence File Early
For H-1B sponsorship, USCIS requires the role to qualify as a specialty occupation requiring a directly related bachelor's degree or higher. Collect course transcripts, prior job descriptions, and published work that ties your degree field specifically to data science methodology.
Use Migrate Mate to Filter Active Scale AI Openings
Visa-sponsored Data Scientist roles at Scale AI don't always stay open long. Use Migrate Mate to filter Scale AI listings by the visa types you hold so you're applying to roles where sponsorship is already confirmed, not guessing from the job description.
Negotiate Offer Timing Around H-1B Cap Deadlines
H-1B cap-subject petitions have a fixed October 1 start date, and USCIS registration opens in March. If Scale AI extends an offer outside that window, ask whether cap-exempt filing or a start date adjustment is possible to avoid a gap in work authorization.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Data Scientists?
Yes, Scale AI sponsors H-1B visas for Data Scientist roles. The company files cap-subject petitions during the annual USCIS registration period in March, with an October 1 start date if selected. For candidates already holding H-1B status with another employer, Scale AI can file an H-1B transfer, which takes effect once USCIS receives the petition.
How do I apply for Data Scientist jobs at Scale AI?
Applications go through Scale AI's careers page, where roles are listed by team and function. For visa-sponsored openings specifically, Migrate Mate filters Scale AI's active Data Scientist listings by visa type so you can confirm sponsorship eligibility before applying. Most roles require a technical screen followed by a structured data science take-home or live coding assessment.
Which visa types does Scale AI commonly sponsor for Data Scientist roles?
Scale AI sponsors H-1B, E-3, TN visa, and F-1 OPT and CPT for Data Scientist positions. Australian nationals can use the E-3, which has a dedicated annual allocation and no lottery. Canadian and Mexican nationals in qualifying data science roles may be eligible for TN visa status. Green Card sponsorship through EB-2 or EB-3 is available after an initial period of employment.
What qualifications does Scale AI expect for Data Scientist roles?
Most Data Scientist roles at Scale AI expect a bachelor's or master's degree in statistics, computer science, mathematics, or a closely related quantitative field. Practical experience with large-scale datasets, Python, and model evaluation frameworks is standard. Roles focused on RLHF or foundation model quality often expect familiarity with human feedback systems or benchmark construction on top of core data science skills.
How long does the visa sponsorship process take after a Scale AI offer?
Timeline depends on visa type. OPT transfers to a new employer are immediate if your EAD is valid. H-1B standard processing runs three to five months from filing, while premium processing with USCIS gets an adjudication decision within 15 business days. E-3 consular appointments in Australia currently range from two to six weeks depending on the consulate. Factor these timelines into your start date negotiation with Scale AI's recruiting team.