Mathematics Expert

Encore IT Solutions Inc; India; Remote; INR 900,000 - 1,500,000; Part time

Job summary

Encore IT Solutions Inc in India is seeking a Mathematics Expert for a 12-week remote contract to fine-tune large language models, leveraging deep mathematics knowledge from undergraduate to PhD level concepts.

The role emphasizes designing challenging physics problems, producing gold-standard step-by-step solutions, and collaborating with AI researchers to shape evaluation benchmarks.

Qualifications

• Core skills: strong analytical, research, and problem-solving with excellent English comprehension.
• Communication & feedback: structured written communication with detailed annotations remotely.
• Analytical & creative thinking: lateral thinking to construct novel scenarios and evaluate reasoning.
• Independence: self-motivated in a fast-paced, remote-first setup.
• Technical infrastructure: personal desktop/laptop with high-speed internet.

Responsibilities

• Problem Creation & Solutioning: design and solve challenging physics problems testing LLMs.
• Authoring Gold-Standard Data: create clear, step-by-step solutions with detailed reasoning.
• Research Collaboration: work with LLM researchers to align designs with evaluation goals.
• Benchmark Definition: define and build benchmarks across physics curricula from undergrad to PhD.

Skills

Analytical skills

Research skills

Problem solving

English proficiency

Communication

Independence

Technical setup

Education

PhD in Mathematics

Job description

Job Designation: Mathematics Expert

Experience: 1-15 Years (Ph.D is Mandatory)

Contract Duration: 12 Weeks (3 Months)

Work Mode: Remote

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:

• Problem Creation & Solutioning: Designing and solving challenging physics problems that test the boundaries of large language models.
• Authoring Gold-Standard Data: Creating clear, high-quality, step-by-step solutions with detailed and articulated reasoning.
• Research Collaboration: Working with LLM researchers to align task designs with evaluation goals, targeting key areas where models struggle (e.g., symbolic manipulation, abstraction, multi-step reasoning).
• Benchmark Definition: Helping define and build new evaluation benchmarks across physics curricula ranging from early undergraduate to PhD-level topics.

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:

• Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor
• Engagement Length:12 weeks

Evaluation Process -

• ICF
• Assessment
• Delivery Review
• Final selected candidates will be contacted with the next steps, including onboarding requirements.