Research Technician Jobs at Scale AI with Visa Sponsorship
Research Technician roles at Scale AI sit at the intersection of human judgment and AI training, supporting data labeling, quality assurance, and model evaluation pipelines. Scale AI has a consistent track record of sponsoring international talent across a range of visa categories for this function, making it a realistic target for skilled candidates who need work authorization.
See All Research Technician at Scale AI JobsOverview
Showing 5 of 38+ Research Technician Jobs at Scale AI jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 38+ Research Technician Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Technician Jobs at Scale AI.
Get Access To All JobsAbout Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
About The ACE Team
The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more.
About This Role
This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.
BASIC QUALIFICATIONS
- Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
- A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
- At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
- Strong written and verbal communication skills and the ability to operate cross-functionally.
PREFERRED QUALIFICATIONS
- Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
- Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
- Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
- Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.
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.
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.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $259,200—$324,000 USD
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: 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.
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.
About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
About The ACE Team
The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more.
About This Role
This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.
BASIC QUALIFICATIONS
- Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
- A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
- At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
- Strong written and verbal communication skills and the ability to operate cross-functionally.
PREFERRED QUALIFICATIONS
- Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
- Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
- Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
- Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.
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.
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.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $259,200—$324,000 USD
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: 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.
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 38+ Research Technician at Scale AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Technician at Scale AI roles.
Get Access To All JobsTips for Finding Research Technician Jobs at Scale AI Jobs
Align your credentials to AI data pipelines
Scale AI's Research Technician roles often require documented experience with data annotation, quality assurance workflows, or model evaluation. Tailor your resume to show hands-on work with structured datasets or labeling tools before you apply.
Confirm OPT STEM extension eligibility early
Research Technician roles at Scale AI fall under technology and software, a STEM-designated field. If you're on F-1 OPT, verify your degree's CIP code qualifies for the 24-month STEM extension so you can map your timeline against Scale AI's H-1B sponsorship cycle.
Target Scale AI's structured recruiting windows
Scale AI typically hires Research Technicians ahead of H-1B registration in March. Submitting applications in the October through January window positions you for an offer that can be registered in the lottery before your current status expires.
Use Migrate Mate to surface open Research Technician roles
Migrate Mate filters job listings specifically for visa-sponsoring employers. Search for Research Technician roles at Scale AI to see active postings and confirm which visa types the company is currently filing for this function.
Clarify LCA job classification during offer negotiation
Ask your Scale AI recruiter which Standard Occupational Classification code they intend to use on your Labor Condition Application. The SOC code determines prevailing wage level, which directly affects your offer structure and DOL compliance requirements.
Prepare a clear nonimmigrant intent response for E-3 interviews
If you're Australian and pursuing the E-3 route, consular officers will probe ties to Australia. Prepare specific, factual answers about your post-assignment plans. Vague responses about future intentions are the most common reason E-3 Research Technician applications face additional scrutiny.
Research Technician at Scale AI jobs are hiring across the US. Find yours.
Find Research Technician at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Research Technicians?
Yes, Scale AI sponsors H-1B visas for Research Technician roles. The H-1B is the most common pathway for candidates in technical AI and data functions who need full work authorization. Because the H-1B is subject to an annual lottery, timing your application around Scale AI's hiring cycle and the USCIS registration window in March is essential to avoid gaps in status.
How do I apply for Research Technician jobs at Scale AI?
Applications go through Scale AI's careers portal. Search for Research Technician openings, review the job description carefully for any visa sponsorship language, and tailor your application to highlight data annotation, quality review, or AI evaluation experience. You can also browse current Research Technician openings at Scale AI filtered by visa sponsorship eligibility on Migrate Mate before applying directly.
Which visa types does Scale AI commonly use for Research Technician roles?
Scale AI files across several categories for this function, including H-1B for skilled workers, E-3 for Australian nationals, TN for Canadian and Mexican professionals under USMCA, F-1 OPT and CPT for current students, J-1 for exchange visitors, and employment-based Green Card pathways like EB-2 and EB-3 for candidates pursuing permanent residence. The right category depends on your nationality, degree, and career stage.
What qualifications does Scale AI expect for Research Technician candidates needing sponsorship?
Most Research Technician roles at Scale AI require at minimum a bachelor's degree in a field related to computer science, cognitive science, linguistics, or a quantitative discipline, combined with hands-on experience in data labeling, annotation quality control, or AI model evaluation. Specialty occupation classification under H-1B requires that a specific bachelor's degree be a minimum requirement for the role, not just preferred.
How do I plan my timeline if I need Scale AI to file a visa petition for me?
For H-1B, USCIS opens registration in March each year, so you need an offer in hand before that window. F-1 OPT candidates should confirm their OPT end date and whether their degree qualifies for the STEM extension, which provides up to 24 additional months of work authorization. E-3 and TN petitions can be filed year-round, which gives Australian and Canadian or Mexican candidates more scheduling flexibility.
See which Research Technician at Scale AI employers are hiring and sponsoring visas right now.
Search Research Technician at Scale AI Jobs