Social Media H-1B1 Chile Sponsorship Jobs in California
California's social media industry spans from Silicon Valley to Los Angeles, with companies like Meta, Snap, Pinterest, and TikTok U.S. regularly filing H-1B1 Chile Labor Condition Applications for specialist roles. Chilean professionals in content strategy, paid social, and social analytics will find the deepest concentration of sponsoring employers in San Francisco, San Jose, and Los Angeles.
See All Social Media JobsOverview
Showing 5 of 12+ Social Media H-1B1 Chile Sponsorship Jobs in California
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 Social Media H-1B1 Chile Sponsorship Jobs in California
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Social Media H-1B1 Chile Sponsorship Jobs in California.
Get Access To All JobsINTRODUCTION
Meta is seeking a Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Data Scientist on this team, you will be responsible for the scientific rigor behind our frontier AI benchmarks. You will work in tandem with world-class Research Scientists and Engineers to design, validate, and analyze novel evaluations that shape the future of AI capability measurement. This role is for a technical Data Science expert who can bridge the gap between abstract model capabilities and rigorous, unbiased measurement. You will lead the charge on sampling strategies for various AI tasks, critically examine benchmark quality and validity, and perform deep-dive analysis on current frontier models’ failures and limitations. You will have the opportunity to conduct novel research, think creatively about measurement in uncharted territories, and contribute to the global AI community.
Responsibilities:
- Scientific Design & Validity: Lead the design of evaluation stimuli and benchmarks, ensuring they have minimal bias and high construct validity for frontier LLM capabilities
- Experimental Methodology: Design and execute effective sampling strategies and experimental frameworks to measure model performance and errors accurately
- Deep-Dive Analysis: Perform rigorous data and model error analyses to provide deep insights into model behavior, quality gaps, and failure modes
- Collaborative Research: Partner closely with Research Scientists and Engineers to translate organizational priorities into measurable, scientifically sound benchmarks
- External Impact: Drive the publication of novel evaluation research and the open-sourcing of benchmarks to influence the broader AI research community
- Strategic Influence: Use data-driven insights to influence research directions and major model development lines within MSL
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
PREFERRED QUALIFICATIONS:
- Advanced Quantitative Background: Master’s or Ph.D. in a quantitative or experimentation-heavy field (e.g., Statistics, Psychology, Economics, Quantitative Social Sciences, or a related technical field)
- Publication Record: Publications at top-tier peer-reviewed venues (e.g., NeurIPS, ICML, ICLR, ACL, or field-specific journals) related to measurement, evaluation, or experimental design
- Evaluation Expertise: Recognized expertise in language model evaluation, psychometrics, or the science of benchmarking
- Open Source & Community: A track record of open-source contributions to evaluation tools, datasets, or benchmarks
- Domain Knowledge: Familiarity with language model post-training, RLHF, or the nuances of LLM failure modes
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- Salary Range: $177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Meta is seeking a Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Data Scientist on this team, you will be responsible for the scientific rigor behind our frontier AI benchmarks. You will work in tandem with world-class Research Scientists and Engineers to design, validate, and analyze novel evaluations that shape the future of AI capability measurement. This role is for a technical Data Science expert who can bridge the gap between abstract model capabilities and rigorous, unbiased measurement. You will lead the charge on sampling strategies for various AI tasks, critically examine benchmark quality and validity, and perform deep-dive analysis on current frontier models’ failures and limitations. You will have the opportunity to conduct novel research, think creatively about measurement in uncharted territories, and contribute to the global AI community.
Responsibilities:
- Scientific Design & Validity: Lead the design of evaluation stimuli and benchmarks, ensuring they have minimal bias and high construct validity for frontier LLM capabilities
- Experimental Methodology: Design and execute effective sampling strategies and experimental frameworks to measure model performance and errors accurately
- Deep-Dive Analysis: Perform rigorous data and model error analyses to provide deep insights into model behavior, quality gaps, and failure modes
- Collaborative Research: Partner closely with Research Scientists and Engineers to translate organizational priorities into measurable, scientifically sound benchmarks
- External Impact: Drive the publication of novel evaluation research and the open-sourcing of benchmarks to influence the broader AI research community
- Strategic Influence: Use data-driven insights to influence research directions and major model development lines within MSL
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
PREFERRED QUALIFICATIONS:
- Advanced Quantitative Background: Master’s or Ph.D. in a quantitative or experimentation-heavy field (e.g., Statistics, Psychology, Economics, Quantitative Social Sciences, or a related technical field)
- Publication Record: Publications at top-tier peer-reviewed venues (e.g., NeurIPS, ICML, ICLR, ACL, or field-specific journals) related to measurement, evaluation, or experimental design
- Evaluation Expertise: Recognized expertise in language model evaluation, psychometrics, or the science of benchmarking
- Open Source & Community: A track record of open-source contributions to evaluation tools, datasets, or benchmarks
- Domain Knowledge: Familiarity with language model post-training, RLHF, or the nuances of LLM failure modes
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- Salary Range: $177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Social Media Job Roles in California
See all Social Media Jobs in California
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Social Media Jobs in CaliforniaSocial Media Jobs in California: Frequently Asked Questions
Which social media companies sponsor H-1B1 Chile visas in California?
California-headquartered social media companies with documented H-1B1 visa Chile LCA filings include Meta, Snap, Pinterest, and TikTok U.S.. Broader technology companies with active social media divisions, such as Google and Adobe, have also filed LCAs covering social media specialist roles in California. Reviewing OFLC Labor Condition Application disclosure data will show which employers have certified positions at California worksites within your target role category.
Which cities in California have the most social media H-1B1 Chile sponsorship jobs?
San Francisco and the broader Bay Area account for the highest concentration of social media H-1B1 Chile sponsorship activity, given the density of platform companies headquartered there. Los Angeles has grown significantly as a hub for creator-economy and influencer-marketing roles at companies including Snap and TikTok U.S.. San Jose and Santa Monica also appear regularly in LCA filings for social media specialist positions at California worksites.
What types of social media roles typically qualify for H-1B1 Chile sponsorship?
The H-1B1 requires the position to qualify as a specialty occupation, meaning it must normally require at least a bachelor's degree in a directly related field. Social media roles that commonly meet this standard include social media strategist, paid social analyst, social content manager with a marketing or communications degree requirement, and social data analyst with a quantitative or analytics background. Generalist coordinator roles with no specific degree requirement are less likely to qualify.
How do I find social media H-1B1 Chile sponsorship jobs in California?
Migrate Mate filters job listings by visa type, state, and industry, so you can search specifically for California social media roles where employers have H-1B1 Chile filing history verified through DOL LCA disclosure data. This removes the guesswork of identifying which companies are willing to sponsor. You can also cross-reference OFLC Wage Search to confirm prevailing wage levels for specific social media job titles at California worksites before applying.
Are there any California-specific or industry-specific considerations for H-1B1 Chile sponsorship in social media?
California's own employment laws, including strict rules on non-compete agreements and employee classification, can affect how social media roles are structured at sponsoring employers. For H-1B1 Chile holders, the visa is employer-specific and worksite-specific, so a role change or shift to remote work at a different California location may require a new or amended LCA filing. Social media companies in California often use contractors for content roles, but H-1B1 sponsorship applies only to direct employment relationships.
What is the prevailing wage for H-1B1 Chile social media 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.