Role Overview:
In this role, you will work on cutting-edge initiatives to fine-tune large language models by leveraging your deep analytical skills and mathematics expertise. The ideal candidate possesses a strong foundation in Mathematics —spanning advanced engineering entrance levels through graduate and PhD-level concepts—and the ability to break down complex phenomena into clear, step-by-step reasoning. You will play a direct role in probing model limitations while learning how to leverage frontier AI tools to future-proof your career.
Requirements:
- Core Skills: Strong analytical, research, and problem-solving skills with excellent English comprehension.
- Communication & Feedback: Exceptional structured written communication, with the ability to provide constructive feedback and detailed annotations in a remote environment.
- Analytical & Creative Thinking: Strong lateral thinking capabilities to construct novel scenarios and evaluate complex reasoning pathways.
- Independence: Self-motivated and capable of operating independently in a fast-paced, remote-first setup.
- Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection.
Responsibilities:
- In this role, you will help set the benchmark for AI capabilities in advanced physical sciences. Your day-to-day responsibilities will include:
Education & Experience:
- Educational background or Doctorate in Mathematics, or an equivalent technical field.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
Offer Details:
- Remote
- Full-time dedication (40 hours/week) - 8 hours per day with an overlap of 4 hours with PST.
- Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Turkey, Vietnam
- Engagement Length: 12 weeks
Please note: This position is paid on a task based model. The hourly rate listed in this form is only an estimated average to provide compensation context. The final payment will depend on the tasks completed.
Important note: Due to the high volume of applications, we are unable to provide individual feedback at this stage. Only candidates shortlisted for the next steps will be contacted by our team.