J-1 Visa Scale Clerk Jobs
Scale Clerk positions in the U.S. are accessible to exchange visitors through the J-1 Trainee or Intern program categories, depending on your career stage. Securing sponsorship requires a designated sponsor organization to issue your DS-2019 and approve your training plan before you can join a host employer in a weighing, measurement, or logistics role.
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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 Clerk jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scale Clerk roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Scale Clerk
Match your credentials to the right J-1 category
The Intern category applies if you're currently enrolled in a degree program abroad. The Trainee category fits graduates with at least one year of relevant work experience in weighing systems, logistics coordination, or quality control measurement.
Document hands-on measurement experience precisely
Your training plan must connect your Scale Clerk duties to a verifiable skills gap. List specific equipment you've operated, calibration procedures you've followed, and any regulatory compliance exposure from your home country to strengthen the training plan narrative.
Target host employers in freight, agriculture, and manufacturing
Scale Clerk roles cluster in grain elevators, scrap yards, trucking terminals, and food-processing facilities. Search for host employers in these industries, since their daily workflow depends on certified weighing operations and they're accustomed to training plan requirements.
Search Migrate Mate to find J-1-aligned Scale Clerk openings
Many host employers don't advertise their J-1 compatibility on general job boards. Use Migrate Mate to filter for Scale Clerk roles and logistics positions at U.S. employers that have a history of hosting international exchange visitors.
Confirm the host employer will sign the training plan
Your designated sponsor organization, such as CIEE or Cultural Vistas, issues your DS-2019 but requires the host employer's signature on the formal training plan. Clarify this commitment before accepting any offer to avoid delays in the sponsor's approval process.
Check the two-year home residency requirement early
Some J-1 participants are subject to a two-year home-country physical presence requirement, which affects future U.S. visa options. Verify your status with your designated sponsor before your training period ends so you can plan return travel or pursue a waiver if needed.
Scale Clerk jobs are hiring across the US. Find yours.
Find Scale Clerk JobsScale Clerk J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Scale Clerk role?
Current university students in logistics, supply chain, or a related field typically qualify under the J-1 Intern category. If you've already graduated and have at least one year of professional experience in weighing operations, quality control, or freight coordination, the J-1 Trainee category is the appropriate match. Your designated sponsor organization confirms which category applies to your specific background.
Who actually sponsors my J-1 visa as a Scale Clerk?
The visa sponsor is a U.S. Department of State-designated organization, not the employer where you'll work. Organizations like CIEE, Cultural Vistas, or AIPT review your training plan, issue your DS-2019 form, and monitor your program compliance throughout your stay. The facility or company where you perform Scale Clerk duties is your host employer, which is a separate role from the legal sponsor.
What should a Scale Clerk training plan include?
Your training plan needs to demonstrate a clear skills gap between your current competency and what the U.S. host placement will teach you. For Scale Clerk roles, this typically means documenting specific weighing equipment, calibration standards, record-keeping software, or regulatory compliance procedures not available in your home country. The designated sponsor organization will guide the format, but the content must be operationally specific and tied to measurable learning objectives.
How do I find U.S. employers willing to host J-1 Scale Clerks?
Use Migrate Mate to search for Scale Clerk and logistics roles at U.S. employers that are open to international exchange visitors. Host employers in grain handling, freight terminals, recycling, and food processing tend to rely on certified weighing operations and are more familiar with the training plan and compliance requirements that come with J-1 participants. Targeting these specific industries improves your chances of finding a willing host.
Does the two-year home residency requirement apply to J-1 Scale Clerks?
It depends on your country of nationality, whether your training is government-funded, and whether your field appears on the Exchange Visitor Skills List maintained by the State Department. Scale Clerk work in logistics or agriculture could trigger the requirement for some nationalities. Your designated sponsor organization is the correct authority to confirm whether the requirement applies to your specific situation before you finalize your program.
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