PhD-trained STEM experts will design challenging domain-specific problems and datasets to improve large language model reasoning and accuracy. Work remotely, collaborate asynchronously, review and refine technical content, and adhere to structured guidelines. Ongoing independent-contractor role, 15–20 hours/week (up to 40), paid weekly.
This role is for one of our clients
Compensation: $50 - $80 per hour
We are seeking highly accomplished STEM PhD professionals to contribute to a premier research initiative with a leading AI lab. In this role, you will apply your domain expertise to support the development of next-generation large language models by creating high-quality, challenging problems and datasets that enhance model reasoning and performance.
This opportunity is ideal for individuals with deep subject matter expertise, strong analytical thinking, and a passion for advancing AI through rigorous, domain-specific contributions.
Requirements
What You’ll Do
- Design complex, high-quality problems and scenarios within your area of expertise
- Contribute to the creation of datasets that improve AI model reasoning and accuracy
- Apply domain knowledge to ensure technical correctness and depth
- Review and refine content to meet high standards of clarity and rigor
- Collaborate in a remote, asynchronous environment while adhering to structured guidelines
Who You Are
- PhD in a STEM field from a university in the United States, United Kingdom, Canada, or Europe (e.g., Mathematics, Biology, Chemistry, Physics, Computer Science, Statistics, Economics)
- Strong attention to detail and commitment to high-quality work
- Excellent written and verbal communication skills
- High proficiency in English
Engagement Details
- Ongoing role starting in April with rolling applications
- Expected commitment of 15–20 hours per week, with potential to increase up to 40 hours per week
- Fully remote with a flexible, self-managed schedule
Screening Process
- Short interview (approximately 20–30 minutes) to assess domain expertise and communication skills
Compensation & Payments
- Competitive compensation based on experience and specialization
- Weekly payments via supported global payment platforms
Additional Information
- Independent contractor engagement
- Work must not involve sharing confidential or proprietary information from any current or previous employer or institution
- Projects may be extended, modified, or concluded based on performance and business needs
- This opportunity does not currently support certain work authorization categories
Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Manage and engage Chevrolet dealerships across the Harrisburg territory through frequent in-person visits, training, sales support, inventory and CSI management, marketing coordination, and data-driven analysis to drive vehicle and parts sales and meet monthly/yearly targets.
Top Skills:
Excel
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead zone sales, aftersales, and marketing for Buick/GMC across the assigned territory. Manage and coach field teams, develop dealer relationships, drive digital and customer experience initiatives, optimize inventory and facility image, ensure compliance with dealer agreements, and execute growth strategies. Requires frequent in-market visits and strong cross-functional collaboration.
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead retention and renewal strategy for OnStar subscribers in US/Canada to reduce churn, improve renewals, increase saves and winbacks, and grow lifetime value. Use customer data and cross-functional execution to identify leakage, run experiments, prioritize and commercialize retention initiatives, manage performance metrics, and lead a team focused on churn, winback, renewal, and rejector management.
Top Skills:
AnalyticsCall Center SystemsCRMEcommerceEmailExperimentation PlatformsIn-AppPush
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
