J-1 Visa Scale Operator Jobs
Scale Operator positions in the United States are accessible to international professionals through J-1 visa sponsorship under the Trainee or Intern program categories, depending on your career stage. A U.S. Department of State-designated sponsor organization issues your DS-2019, while the weighing facility or logistics company serves as your host employer.
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Get Access To All JobsINTRODUCTION
The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale’s proprietary research, data, and infrastructure—unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.
ROLE AND RESPONSIBILITIES
What You’ll Do
- Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).
- Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
- Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
- Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
- Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
- Stay deeply connected to the research community, understanding major trends, and helping set them.
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
BASIC QUALIFICATIONS
What We’re Looking For
- 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.
- A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
- Experience and track of recording in landing major research impacts in a fast-paced environment.
- Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
- Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.
- Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners.
PREFERRED QUALIFICATIONS
Nice to Have
- Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments.
- Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale.
- Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes.
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
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: $289,800—$362,250 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
The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale’s proprietary research, data, and infrastructure—unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.
ROLE AND RESPONSIBILITIES
What You’ll Do
- Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).
- Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
- Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
- Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
- Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
- Stay deeply connected to the research community, understanding major trends, and helping set them.
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
BASIC QUALIFICATIONS
What We’re Looking For
- 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.
- A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
- Experience and track of recording in landing major research impacts in a fast-paced environment.
- Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
- Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.
- Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners.
PREFERRED QUALIFICATIONS
Nice to Have
- Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments.
- Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale.
- Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes.
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
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: $289,800—$362,250 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 10+ Scale Operator jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scale Operator roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Scale Operator
Document your technical weighing credentials first
Gather certificates showing hands-on experience with calibrated scales, load cells, or weight management systems. J-1 Trainee programs require demonstrated occupational background, so vague credentials won't satisfy a designated sponsor's training plan review.
Target industries with active J-1 host relationships
Aggregate, mining, grain handling, and waste management operations regularly host J-1 Trainees for scale operations. Filter your search to facilities that have previously filed DOL-certified training plans, since those employers already understand the DS-2019 process.
Search Migrate Mate to find J-1-aligned scale roles
Use Migrate Mate to identify U.S. employers actively hosting international candidates in operations and logistics roles. Filtering by J-1 compatibility narrows results to facilities whose hiring workflows accommodate a designated sponsor's training plan requirements.
Distinguish Intern from Trainee eligibility early
If you're currently enrolled in a post-secondary program, the J-1 Intern category applies. If you've graduated within the past 12 months or have at least one year of post-graduation work experience, Trainee is the correct category. Applying under the wrong category stalls your DS-2019 issuance.
Confirm the host employer will sign a training plan
The designated sponsor issues the DS-2019, but the host facility must co-develop and sign a formal Training or Internship Placement Plan. Raise this requirement before accepting an offer to avoid delays after the employer commits to hiring you.
Check whether your role triggers the home residency requirement
Scale Operator positions sponsored through certain government-funded programs may carry the two-year home country physical presence requirement under INA Section 212(e). Verify this with your designated sponsor before finalizing placement, since it affects future visa eligibility.
Scale Operator jobs are hiring across the US. Find yours.
Find Scale Operator JobsScale Operator J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Scale Operator role?
Most Scale Operator candidates qualify under the J-1 Trainee category, which is designed for foreign nationals with a degree or professional certificate plus at least one year of relevant work experience outside the United States. If you're currently enrolled in a degree program, the Intern category applies instead. Your designated sponsor confirms the correct category based on your credentials and the host facility's training plan.
Who actually sponsors my J-1 visa as a Scale Operator?
The visa sponsor is a U.S. Department of State-designated organization, such as AIPT or Cultural Vistas, not your host employer. The weighing facility or logistics company where you work is the host. The designated sponsor issues your DS-2019 form, monitors program compliance, and is legally responsible for your exchange visitor status throughout the placement.
How do I find U.S. employers willing to host J-1 Scale Operators?
Migrate Mate lets you search for U.S. employers in operations and logistics roles that align with J-1 sponsorship pathways. Look specifically for facilities in aggregate, grain, waste management, or industrial weighing sectors, since these industries have established workflows for hosting international Trainees and are familiar with co-developing the training plans required by designated sponsors.
What does the training plan requirement mean for Scale Operator placements?
A formal Training or Internship Placement Plan must detail the specific skills you'll develop, the supervision structure, and weekly activity breakdowns. For Scale Operator roles, this typically covers calibration procedures, load management protocols, and regulatory compliance tasks. The host facility signs this document alongside the designated sponsor before your DS-2019 is issued, so the employer must be willing to complete it.
Does a Scale Operator J-1 placement come with a two-year home residency requirement?
Some J-1 placements carry the two-year home country physical presence requirement under INA Section 212(e), which bars you from adjusting to certain immigrant or nonimmigrant statuses until you fulfill it. Scale Operator roles funded by a government program or involving specialized knowledge from a country with a skills shortage are most likely to trigger it. Your designated sponsor determines whether the requirement applies based on your specific placement terms.
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