Data Science Intern Visa Sponsorship Jobs in California
Data science intern roles in California attract some of the highest concentrations of visa sponsorship in the country, driven by major tech employers across the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Meta, Apple, and numerous AI startups regularly hire international interns, making California a leading destination for sponsored data science internship opportunities.
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Get Access To All JobsAbout Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Data Science Intern at Mercor, you’ll join a fast-moving, metrics-driven engineering team that powers critical decisions across the company. You’ll analyze data that directly impacts ranking, hiring efficiency, candidate experience, and revenue. From day one, you’ll work with real datasets, ship insights used by product and engineering, and prototype models that improve how we match talent to AI companies.
You’ll work closely with engineers, PMs, and leadership, designing experiments, evaluating LLM-powered systems, and building the foundations of data integrity and visibility across the platform. You’ll move quickly while maintaining a high bar for analytical rigor, clarity, and statistical correctness.
At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following:
- Talent platform analytics – improving match quality, ranking, time-to-hire, and marketplace efficiency through experimentation and modeling.
- Applied AI/human data insights – partnering with leading AI labs (OpenAI, Anthropic, Google) to design evaluation rubrics, run human-in-the-loop studies, and understand how experts shape post-training data for frontier models.
What You’ll Work On
As an intern, you’ll take on projects such as:
- Defining north-star metrics and feature-level KPIs for ranking, interview analytics, and payouts systems.
- Designing and running A/B tests and quasi-experiments; translating results into product decisions within days.
- Building dashboards and lightweight data models that empower teams to self-serve insights.
- Instrumenting events with engineers and improving data quality, observability, and latency.
- Prototyping models (from baselines to gradient boosting) to improve matching and scoring systems.
- Evaluating LLM-powered agents through rubric design, human-in-the-loop experiments, and guardrail canary testing.
What We’re Looking For
- Pursuing a degree in a quantitative field (graduating 2026–2028).
- Strong fundamentals in statistics, SQL, and Python.
- Experience with experiment design, causal reasoning, and data analysis.
- Ability to communicate clearly with engineers, product managers, and leadership.
- Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics (a plus).
- Excited to work in person and thrive in a fast-paced environment.
- Nice-to-haves: experience with dbt, dashboarding tools, recommendation/search metrics, or LLM/agent evaluation.
Why Mercor
- Impact: Your work powers how AI labs train and deploy their models
- Learning: Get early exposure to frontier AI research and engineering
- Growth: Work with a high-velocity team where interns ship to production
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Data Science Intern at Mercor, you’ll join a fast-moving, metrics-driven engineering team that powers critical decisions across the company. You’ll analyze data that directly impacts ranking, hiring efficiency, candidate experience, and revenue. From day one, you’ll work with real datasets, ship insights used by product and engineering, and prototype models that improve how we match talent to AI companies.
You’ll work closely with engineers, PMs, and leadership, designing experiments, evaluating LLM-powered systems, and building the foundations of data integrity and visibility across the platform. You’ll move quickly while maintaining a high bar for analytical rigor, clarity, and statistical correctness.
At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following:
- Talent platform analytics – improving match quality, ranking, time-to-hire, and marketplace efficiency through experimentation and modeling.
- Applied AI/human data insights – partnering with leading AI labs (OpenAI, Anthropic, Google) to design evaluation rubrics, run human-in-the-loop studies, and understand how experts shape post-training data for frontier models.
What You’ll Work On
As an intern, you’ll take on projects such as:
- Defining north-star metrics and feature-level KPIs for ranking, interview analytics, and payouts systems.
- Designing and running A/B tests and quasi-experiments; translating results into product decisions within days.
- Building dashboards and lightweight data models that empower teams to self-serve insights.
- Instrumenting events with engineers and improving data quality, observability, and latency.
- Prototyping models (from baselines to gradient boosting) to improve matching and scoring systems.
- Evaluating LLM-powered agents through rubric design, human-in-the-loop experiments, and guardrail canary testing.
What We’re Looking For
- Pursuing a degree in a quantitative field (graduating 2026–2028).
- Strong fundamentals in statistics, SQL, and Python.
- Experience with experiment design, causal reasoning, and data analysis.
- Ability to communicate clearly with engineers, product managers, and leadership.
- Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics (a plus).
- Excited to work in person and thrive in a fast-paced environment.
- Nice-to-haves: experience with dbt, dashboarding tools, recommendation/search metrics, or LLM/agent evaluation.
Why Mercor
- Impact: Your work powers how AI labs train and deploy their models
- Learning: Get early exposure to frontier AI research and engineering
- Growth: Work with a high-velocity team where interns ship to production
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Data Science Intern Job Roles in California
See all 647+ Data Science Intern Jobs in California
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Search Data Science Intern Jobs in CaliforniaData Science Intern Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for data science interns?
Large tech employers with established international intern programs, including Google, Meta, Apple, Amazon, and Microsoft, have California offices that sponsor data science interns. Beyond major tech companies, AI-focused startups in the Bay Area and enterprise software firms throughout Silicon Valley also sponsor international interns, though sponsorship availability varies by company size, intern headcount, and the specific visa category involved.
Which visa types are most common for data science intern roles in California?
Most international data science interns in California work under F-1 OPT or CPT authorization rather than employer-sponsored visas, since internships are typically short-term. Students on F-1 visas can use Curricular Practical Training during their degree or Optional Practical Training after graduation. Some companies sponsor J-1 visa intern or trainee visas. H-1B visa sponsorship is rare for internships given the temporary nature of the role and the petition timeline involved.
Which cities in California have the most data science intern sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Menlo Park, and San Francisco itself, concentrates the majority of sponsored data science internships in California. Los Angeles has a growing presence through entertainment tech, health tech, and aerospace data roles. San Diego hosts data science internships tied to biotech and defense contractors. Most international intern sponsorship activity is centered in the Bay Area given the density of major tech employers there.
How to find data science intern visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science intern roles in California without sorting through positions that do not support international candidates. Because data science internships in California span tech, biotech, and fintech industries, using Migrate Mate to filter by role type and state helps narrow results to employers actively hiring sponsored interns rather than sorting through listings where sponsorship status is unclear.
Are there state-specific or role-specific considerations for data science interns seeking sponsorship in California?
California's concentration of university programs at UC Berkeley, Stanford, UCLA, and UC San Diego creates a strong pipeline of international students entering data science internships locally. California employers are generally familiar with F-1 OPT and CPT processes given the volume of international students in the state. For roles at larger companies, internships often serve as a pathway to full-time positions where H-1B sponsorship may become relevant after graduation.
What is the prevailing wage for sponsored data science intern jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.