Partner with research teams to design and evaluate complex, real-world operations tasks and solutions, provide actionable feedback, and improve LLM performance by contributing high-quality training and evaluation data.
This role is for one of our clients
Compensation: $80-$110 per hour
Join a leading AI lab’s cutting-edge Generative AI team and play a pivotal role in building next-generation large language models. We are seeking experienced Operations professionals to contribute deep domain expertise and enhance the quality of AI training data.
In this role, you will work closely with research teams to design, evaluate, and refine operational problem sets, helping AI systems better understand and solve complex, real-world business challenges.
Requirements
What You’ll Do
- Partner with research teams to identify and close knowledge gaps in Operations-related domains
- Design complex, real-world tasks across various operations specializations and develop structured, high-quality solutions
- Evaluate operational scenarios and solutions, providing clear, actionable feedback
- Contribute to improving AI model performance through domain expertise
- Collaborate with other subject matter experts to ensure consistency, accuracy, and quality of training data
Who You Are
- 8+ years of professional experience in Operations, with a strong track record in leadership roles
- Demonstrated career progression into senior operations positions (e.g., Operations Manager, Director of Operations, VP of Operations, or similar)
- Experience working in recognized enterprises, high-growth companies, or consulting environments
- Strong analytical, problem-solving, and decision-making skills
- Excellent written and verbal communication abilities
Engagement Details
- W-2 employment structure with placement at a leading AI lab as part of an extended workforce
- Minimum commitment of 20 hours per week during weekdays
- Opportunity to work on high-impact AI initiatives in a collaborative environment
Why This Role
- Be at the forefront of AI innovation and model development
- Apply real-world operations expertise to shape how AI understands business processes
- Collaborate with top-tier professionals across technology and research domains
Additional Information
- This role involves contributing to AI training and evaluation workflows in a structured environment
- Responsibilities and scope may evolve based on project needs and performance
Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
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What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
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- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
