Data Operations Analyst Jobs for OPT Students
Data Operations Analyst roles are a strong fit for F-1 OPT students with backgrounds in data management, business analytics, or information systems. Most positions qualify as STEM OPT, giving you up to 36 months of work authorization. Employers in finance, tech, and healthcare regularly hire for this role without H-1B sponsorship as an immediate requirement.
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Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, so humans can focus on creativity, curiosity, and what we love.
As a Robot Data Operations Analyst, you’ll split your time between hands-on robot teleoperation and analytical work. You’ll be maintaining high quality data by designing robotics tasks for data collection, labeling datasets, evaluating models, and providing quality assurance and feedback to engineering and fleet operation teams. You will also support robot teleoperation sessions, monitor robot behavior, identify and report issues, and maintain safety in an R&D environment. In this role, you'll gain hands-on experience with robotics systems, contribute directly to training foundation models, and work alongside ML engineers and roboticists.
This role is hands-on and is onsite in San Carlos, CA.
Responsibilities:
- Control the robot by wearing a teleoperating device and equipment for robot training purposes, following standard operating procedures.
- Observe robot behavior and document robot issues during operation.
- Perform quality checks on teleoperation performance from videos and provide feedback to the teleoperation fleet.
- Perform quality checks on language annotations and provide feedback to the annotation team.
- Maintain a safe environment for both yourself and the robot at all times.
- Follow proper equipment and robot service procedures, including bring-up and shutdown and physical inspection.
- Write documentations, SOPs, and troubleshooting guidance.
- Evaluate a robot foundation model’s performance by observing and documenting robot behavior and analyzing root cause.
REQUIREMENTS
- Strong attention to detail and proactive mindset.
- Ability to follow written and verbal instructions precisely.
- Comfortable working on feet and, potentially, in VR environments.
- Must demonstrate curiosity, coachability, and consistency.
- Able to lift up to 50 lbs when staging environments / supporting robot operations.
- Excellent written and verbal communication skills.
- Embrace constructive feedback and strive for constant improvement.
- Adapt quickly to changing priorities in a dynamic R&D environment.
- Maintain high quality work and efficiency while working with little supervision.
BONUS QUALIFICATIONS:
- Linux OS experience and familiarity.
- Programming experience with Python or other languages to automate scripts.
- Mechanical hardware assembly and troubleshooting experience.
- Prior robot teleoperation experience.
- Familiarity with bash, shell, and/or terminal commands.
- AI/Machine Learning experience or projects.
- Excellent physical coordination, spatial awareness, and focus.
- Master new physical tasks quickly and optimize for performance.
INTRODUCTION
Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, so humans can focus on creativity, curiosity, and what we love.
As a Robot Data Operations Analyst, you’ll split your time between hands-on robot teleoperation and analytical work. You’ll be maintaining high quality data by designing robotics tasks for data collection, labeling datasets, evaluating models, and providing quality assurance and feedback to engineering and fleet operation teams. You will also support robot teleoperation sessions, monitor robot behavior, identify and report issues, and maintain safety in an R&D environment. In this role, you'll gain hands-on experience with robotics systems, contribute directly to training foundation models, and work alongside ML engineers and roboticists.
This role is hands-on and is onsite in San Carlos, CA.
Responsibilities:
- Control the robot by wearing a teleoperating device and equipment for robot training purposes, following standard operating procedures.
- Observe robot behavior and document robot issues during operation.
- Perform quality checks on teleoperation performance from videos and provide feedback to the teleoperation fleet.
- Perform quality checks on language annotations and provide feedback to the annotation team.
- Maintain a safe environment for both yourself and the robot at all times.
- Follow proper equipment and robot service procedures, including bring-up and shutdown and physical inspection.
- Write documentations, SOPs, and troubleshooting guidance.
- Evaluate a robot foundation model’s performance by observing and documenting robot behavior and analyzing root cause.
REQUIREMENTS
- Strong attention to detail and proactive mindset.
- Ability to follow written and verbal instructions precisely.
- Comfortable working on feet and, potentially, in VR environments.
- Must demonstrate curiosity, coachability, and consistency.
- Able to lift up to 50 lbs when staging environments / supporting robot operations.
- Excellent written and verbal communication skills.
- Embrace constructive feedback and strive for constant improvement.
- Adapt quickly to changing priorities in a dynamic R&D environment.
- Maintain high quality work and efficiency while working with little supervision.
BONUS QUALIFICATIONS:
- Linux OS experience and familiarity.
- Programming experience with Python or other languages to automate scripts.
- Mechanical hardware assembly and troubleshooting experience.
- Prior robot teleoperation experience.
- Familiarity with bash, shell, and/or terminal commands.
- AI/Machine Learning experience or projects.
- Excellent physical coordination, spatial awareness, and focus.
- Master new physical tasks quickly and optimize for performance.
How to Get Visa Sponsorship as a Data Operations Analyst
Confirm your role qualifies for STEM OPT extension
Data Operations Analyst positions typically fall under CIP codes like Management Information Systems or Data Science. Verify your degree matches one of these before applying, since STEM OPT gives you 24 extra months beyond standard OPT authorization.
Target employers already familiar with OPT E-Verify
STEM OPT extensions require your employer to be E-Verify enrolled. Prioritize companies with established OPT hiring programs, particularly in finance, healthcare, and enterprise tech, where data operations roles are common and compliance teams handle these requirements routinely.
Highlight your data tools and technical stack upfront
Employers hiring Data Operations Analysts want proficiency in SQL, Python, and platforms like Snowflake or Databricks. Listing these prominently on your resume signals immediate value and shifts the conversation away from visa status toward your technical contribution.
Apply before your OPT start date whenever possible
Many employers hesitate if your OPT hasn't begun yet. Starting your search at least three months before your authorization date gives hiring managers confidence in your timeline and reduces the perceived risk of a delayed start date.
Prepare a clear, simple explanation of your OPT timeline
Recruiters often misunderstand OPT mechanics. Have a concise, factual explanation ready: your authorization period, your STEM extension eligibility, and when you would need H-1B sponsorship. Removing ambiguity early prevents unnecessary rejections from otherwise willing employers.
Focus on mid-size companies with active data infrastructure growth
Mid-size companies scaling their data operations are actively hiring and often more flexible with OPT candidates than large enterprises with rigid HR policies. These firms need the skills immediately and are more willing to commit to future H-1B sponsorship.
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Get Access To All JobsFrequently Asked Questions
Does a Data Operations Analyst role qualify for the STEM OPT extension?
It depends on your degree, not just the job title. If your degree is in a STEM-designated field such as Computer Science, Information Systems, or Data Analytics, and the role involves applying those technical skills, it will generally qualify for the 24-month STEM OPT extension. Your DSO will confirm eligibility based on your specific degree CIP code.
How much work authorization time do I have as an OPT student in a Data Operations Analyst role?
Standard OPT gives you 12 months of post-graduation work authorization. If your degree is STEM-designated and your employer is enrolled in E-Verify, you can apply for a 24-month STEM OPT extension, bringing your total to 36 months. That window is enough time for your employer to sponsor you through two H-1B lottery cycles.
Where can I find Data Operations Analyst jobs that are open to OPT candidates?
Migrate Mate is built specifically for F-1 OPT students and filters jobs by visa sponsorship openness, so you are not wasting applications on roles that will screen you out over work authorization. Browsing Migrate Mate lets you focus your search on employers who have hired OPT candidates before and understand the STEM extension process.
Do I need to report a Data Operations Analyst job to my DSO while on OPT?
Yes. Any job you accept while on OPT must be reported to your DSO, who updates your record in SEVIS within the required timeframe. The role must also be directly related to your degree field. For Data Operations Analyst positions, you should be able to document how the work connects to your area of study.
Can I work as a Data Operations Analyst as a contractor or through a staffing agency on OPT?
Yes, but with conditions. On standard OPT, contract or staffing agency placements are allowed as long as the work is related to your degree. On a STEM OPT extension, the rules are stricter: you must have a formal training plan with the end-client employer, not just the staffing agency, and that employer must be E-Verify enrolled.
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