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Engineering Manager, Applied AI
Mercor
New York, NY
About Mercor Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essent...
$250k – $400k/year Apply Now
C# Infrastructure Engineer - Data Pipelines
Alignerr
Seattle, WA
About this job C# Infrastructure Engineer — Data Pipelines (AI Training) About The Role What if your C# skills could directly shape the infra...
$50.00 – $75.00/hr Apply Now
Senior C# Full-Stack Engineer — AI Data & Infrastructure
Alignerr
New York, NY
About The Role What if your C# expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior C# ...
$50.00 – $75.00/hr Apply Now
Senior Rust Engineer — AI Data & Infrastructure
Alignerr
Seattle, WA
About The Role What if your systems programming expertise could directly shape the infrastructure behind some of the world's most advanced A...
$50.00 – $75.00/hr Apply Now
Data Science Expert - AI Content Specialist
Alignerr
Denver, CO
Position Overview Fully remote, flexible contract role for experienced data scientists to work with leading AI research labs at Alignerr. ...
$40.00 – $80.00/hr Apply Now
Data Infrastructure Developer (C++)
Alignerr
Seattle, WA
About The Role What if your systems programming expertise could directly shape the infrastructure powering the world's most advanced AI mode...
$50.00 – $75.00/hr Apply Now
Data Infrastructure Developer (C++)
Alignerr
Denver, CO
About The Role What if your deep C++ expertise could directly shape the infrastructure that powers the world's most advanced AI systems? We'...
$50.00 – $75.00/hr Apply Now
Research Scientist
Hedra
San Francisco, CA
Position Overview Hedra is building a world-class Physical AI research team to push the boundaries of action-conditioned world models and ge...
$200k – $325k/year Apply Now
Research Scientist
Hedra
San Francisco, CA
Hedra is building a world-class Physical AI research team to push the boundaries of action-conditioned world models and generative AI for phy...
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Senior, Data Scientist
Walmart
Sunnyvale, CA
Position Overview Commercialization Platforms and Enablement B2B Team at Walmart Global Tech is a group of data scientists, analysts, and en...
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Engineering Manager, Applied AI

About Mercor Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network t...

$250k – $400k/year Apply Now

About this job
About Mercor
  • Mercor is defining the future of work. 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 $2 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 hiring Engineering Managers to lead teams within our Applied AI organization.
  • Applied AI builds systems that directly improve model quality, including evaluation infrastructure, annotation products, and emerging multimodal capabilities. You'll lead a team of engineers, partner with product and research, and help define how Mercor stays at the frontier of AI.
  • You will also build partnerships with leading AI labs and directly contribute to improving the quality of frontier models through data, evaluation, and systems.
  • This role requires high ownership and abstraction: setting direction, driving outcomes, and staying hands-on while leading.
What You'll Work On
  • Build and scale teams
  • Manage and grow a team of 6--10 engineers
  • Coach and develop high-potential engineers
  • Establish strong ownership, culture, and execution standards
  • Shape the team: define hiring processes, establish engineering practices, and scale a high-performing team from the ground up
  • Drive Applied AI systems and outcomes
  • Drive insights and methodology behind evaluation systems that benchmark and improve model performance
  • Lead development while driving improvements in data quality, operational efficiency, system stability, and scalability
  • Scale products that generate high-quality training data and improve human-in-the-loop workflows
  • Own technical direction
  • Lead system design for complex AI systems
  • Stay close to the technical work and guide engineers through ambiguous problems
  • Translate high-level AI goals into clear engineering roadmaps and execution plans
  • Operate across a broad scope
  • Partner with product, research, operations, and external AI labs
  • Work across systems, data insights, and custom partnerships to drive model quality
  • Shape the organization
  • Introduce lightweight processes as the organization scales
  • Hire and develop strong engineering talent
  • Help define engineering management at Mercor
What We're Looking For
  • 6--10 years in engineering; 2--3+ years managing teams
  • Strong background in building scalable systems
  • Ability to lead in ambiguous environments with sound technical judgment
  • Proven ability to coach engineers and drive execution
  • Strong ownership mindset with pragmatic decision-making
Who Thrives Here
  • We're looking for engineering leaders who take ownership in ambiguous environments, make pragmatic decisions, and consistently deliver measurable impact.
Location
  • San Francisco (preferred) or New York
Why This Role
  • Direct impact on frontier AI development
  • Build partnerships with leading AI labs and shape how frontier models improve
  • High ownership across team, systems, and hiring
  • Opportunity to shape a rapidly scaling organization
  • Work at the intersection of engineering, product, data, and AI
Responsibilities
  • Engineering and Information Technology
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