MERCOR Visa Sponsorship Jobs USA
MERCOR is an AI-driven talent marketplace operating in the Technology & Software space. The company sponsors both H-1B visa and E-3 visas, making it a viable target for international candidates in tech. While not among the highest-volume sponsors, its focused hiring reflects genuine commitment to international talent.
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Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
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
We're looking for a Learning Designer to build the instructional infrastructure that powers Mercor's human data operations – both for our internal teams and the thousands of talent experts who execute complex AI training tasks.
Your work will span three key areas:
Project-level instructional design:
- Review and improve project guidelines, rubrics, and instruction documents to maximize clarity and task performance for our talent experts to complete data annotation and evaluation work
- Transform complex task specifications into well-structured instructional materials that talent experts can follow accurately
- Partner with project teams to identify where documentation gaps are causing quality issues and design solutions
Centralized learning academies:
- Build centralized academy programs for complex data types related to post-training for LLMs
- Create structured upskilling pathways that prepare talent experts for increasingly sophisticated project work
- Develop assessments and certification frameworks that validate readiness for specific project types
Internal training systems:
- Design and develop training curricula for internal Mercor employees across the full project lifecycle – from onboarding fundamentals to advanced client-facing skills
- Build competency-based learning paths that progress from foundational concepts to applied expertise
- Develop evaluation and certification systems to ensure consistent quality and skill development across teams
You'll be designing learning experiences that develop genuine expertise, whether that's teaching an SPL to run a client conversation or helping a talent expert understand the nuances of turning their expertise into a rubric that can evaluate LLM responses. Your work directly impacts the quality of data that trains frontier AI systems.
What We're Looking For
- 2+ years of experience in learning design, instructional design, curriculum development, or technical writing
- Strong pedagogical foundation – you understand how people actually learn and can design experiences that build real skills, not just surface familiarity
- Excellent writing and communication skills – you can make complex concepts clear and actionable for diverse audiences
- Experience creating task documentation or procedural guides – you know how to write instructions that people can actually follow
- Ability to diagnose instructional problems – when task quality suffers, you can identify whether it's a training gap, a documentation issue, or something else
- Experience creating multi-format content (written documentation, video, interactive exercises, assessments)
- Comfort with ambiguity and rapid iteration – we're building systems in a fast-moving environment, and you'll need to ship and improve continuously
- Systems thinking orientation – you see how individual skills connect to broader operational excellence
Nice to Have
- Experience in tech, AI/ML, or data operations environments
- Experience building training programs at high-growth startups
- Background in teaching, coaching, or educational leadership
- Familiarity with data annotation, labeling, or evaluation workflows
- Background in training for client-facing or sales roles
Compensation Range: $125K
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
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
We're looking for a Learning Designer to build the instructional infrastructure that powers Mercor's human data operations – both for our internal teams and the thousands of talent experts who execute complex AI training tasks.
Your work will span three key areas:
Project-level instructional design:
- Review and improve project guidelines, rubrics, and instruction documents to maximize clarity and task performance for our talent experts to complete data annotation and evaluation work
- Transform complex task specifications into well-structured instructional materials that talent experts can follow accurately
- Partner with project teams to identify where documentation gaps are causing quality issues and design solutions
Centralized learning academies:
- Build centralized academy programs for complex data types related to post-training for LLMs
- Create structured upskilling pathways that prepare talent experts for increasingly sophisticated project work
- Develop assessments and certification frameworks that validate readiness for specific project types
Internal training systems:
- Design and develop training curricula for internal Mercor employees across the full project lifecycle – from onboarding fundamentals to advanced client-facing skills
- Build competency-based learning paths that progress from foundational concepts to applied expertise
- Develop evaluation and certification systems to ensure consistent quality and skill development across teams
You'll be designing learning experiences that develop genuine expertise, whether that's teaching an SPL to run a client conversation or helping a talent expert understand the nuances of turning their expertise into a rubric that can evaluate LLM responses. Your work directly impacts the quality of data that trains frontier AI systems.
What We're Looking For
- 2+ years of experience in learning design, instructional design, curriculum development, or technical writing
- Strong pedagogical foundation – you understand how people actually learn and can design experiences that build real skills, not just surface familiarity
- Excellent writing and communication skills – you can make complex concepts clear and actionable for diverse audiences
- Experience creating task documentation or procedural guides – you know how to write instructions that people can actually follow
- Ability to diagnose instructional problems – when task quality suffers, you can identify whether it's a training gap, a documentation issue, or something else
- Experience creating multi-format content (written documentation, video, interactive exercises, assessments)
- Comfort with ambiguity and rapid iteration – we're building systems in a fast-moving environment, and you'll need to ship and improve continuously
- Systems thinking orientation – you see how individual skills connect to broader operational excellence
Nice to Have
- Experience in tech, AI/ML, or data operations environments
- Experience building training programs at high-growth startups
- Background in teaching, coaching, or educational leadership
- Familiarity with data annotation, labeling, or evaluation workflows
- Background in training for client-facing or sales roles
Compensation Range: $125K
Job Roles at MERCOR
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Get Access To All JobsTips for Finding MERCOR Visa Sponsorship Jobs USA
Target roles that align with MERCOR's AI platform
MERCOR builds AI-powered hiring infrastructure, so engineers, data scientists, and machine learning specialists are the strongest fit. Aligning your application to these technical domains improves your chances of landing a sponsored role at the company.
Know which visa types MERCOR supports
MERCOR sponsors both H-1B and E-3 visas. If you're an Australian citizen, the E-3 pathway is faster and avoids the lottery entirely, worth highlighting in your outreach if that applies to your situation.
Reach out before a role is posted
At a leaner tech company like MERCOR, hiring decisions move quickly and roles may not stay open long. Proactively connecting with their technical or recruiting teams before applications open can put you on their radar early.
Demonstrate you can contribute from day one
Smaller tech companies weigh sponsorship cost against immediate impact. Come prepared with a clear narrative about the specific technical problems you solve, particularly around AI evaluation, software engineering, or marketplace infrastructure relevant to MERCOR's product.
Search for open roles on a platform with verified sponsorship data
Not every job board confirms whether a company actually sponsors visas. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, making it easier to confirm MERCOR is actively hiring before you invest time applying.
Prepare for a technical-first interview process
MERCOR's core product evaluates technical talent through rigorous assessments. Expect their own hiring process to reflect that same bar, strong preparation in algorithms, system design, or AI fundamentals will matter more than a polished cover letter.
Frequently Asked Questions
Does MERCOR sponsor H-1B visas?
Yes, MERCOR sponsors H-1B visas. The company has an active sponsorship track record in the Technology & Software industry, with sponsored roles concentrated in technical functions. While MERCOR is not among the largest-volume sponsors, its H-1B filings reflect consistent, targeted hiring of international talent rather than one-off exceptions.
Which visa types does MERCOR sponsor?
MERCOR sponsors both H-1B and E-3 visas. The E-3 is available exclusively to Australian citizens and offers a significant advantage: no lottery, faster processing, and the same two-year renewable status. If you hold Australian citizenship and meet the specialty occupation requirements, the E-3 is worth prioritizing when targeting MERCOR.
Which roles at MERCOR are most likely to receive visa sponsorship?
Sponsorship at MERCOR is concentrated in technical roles, software engineers, machine learning engineers, and roles tied directly to the company's AI evaluation platform. Candidates with backgrounds in AI, backend infrastructure, or data engineering are best positioned. Non-technical functions like sales or operations are less likely to result in a sponsored offer.
How do I find open visa-sponsored jobs at MERCOR?
Migrate Mate is the most reliable way to find MERCOR's open roles alongside verified sponsorship data in one place. Rather than manually checking whether a company's posted jobs include sponsorship, Migrate Mate lets you filter directly by sponsor and visa type, saving time and removing guesswork when you're targeting companies like MERCOR.
How do I improve my chances of getting sponsored by MERCOR?
Focus on demonstrating deep technical expertise relevant to MERCOR's AI hiring platform. The company evaluates candidates rigorously and sponsors selectively, so a strong signal in machine learning, software engineering, or AI infrastructure carries more weight than a general application. Reach out early, tailor your materials to their product, and be explicit about your visa status and timeline upfront.