Master’s/Ph.D./Postdoctoral Expert (STEM) | 2025CBIN08001/27708 at Mindverse Consulting Services Limited

, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

0.0

Posted On

20 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytical Skills, Feedback Skills, Creative Thinking, Communication, Independence, Technical Setup

Industry

IT Services and IT Consulting

Description

Job Summary Customer is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: · In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and english comprehension skills. · The ideal candidate should have a solid foundation in Physics/Chemistry/Mathematics or Biology (STEM), particularly at the level expected in college/engineering entrance exams, as well as graduate or PhD-level programs. · You should be able to break down complex STEM concepts into simple, clear explanations and work efficiently. · The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world! Job Responsibilities What does day-to-day look like: · Design and solve challenging STEM problems to probe the limitations of large language models. · Create clear, high-quality, step-by-step solutions with well-articulated reasoning. · Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models typically struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation). · Help define new evaluation benchmarks based on STEM curricula spanning early undergraduate to PhD-level topics. Essential Skills Requirements: · Analytical Skills: Good research and analytical skills · Feedback Skills: Ability to provide constructive feedback and detailed annotations. · Creative Thinking: Creative and lateral thinking abilities. · Communication: Excellent structured communication and collaboration skills in a remote setting. · Independence: Self-motivated and able to work independently in a remote setting. · Technical Setup: Desktop/Laptop set up with a good internet connection. Preferred Qualification: · Candidates currently pursuing a Master’s/Ph.D./Postdoctoral degree in STEM or a related field are eligible and encouraged to apply. · Ability to analyze and solve complex STEM problems with a structured and logical approach. · Ability to explain STEM concepts clearly using simple language, visuals, and simulations when needed. Other Details · Work in a fully remote environment. · Opportunity to work on cutting-edge AI projects with leading LLM companies. · Potential for contract extension based on performance and project needs. · Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) · Engagement type: Contractor assignment/freelancer (no medical/paid leave) · Duration of contract : 1 month; [expected start date is next week] Background Check required Hiring Process Vetting Process:- · The resume should have: the thesis, LinkedIn, and Google publications links mentioned. · Resume Review by TA team. · ICF to be filled by candidate compulsory. · Assessment / MTI as per the Client specifications . · Since there is no interview in the selection process. The resume should hold all the necessities asked for.

Responsibilities

Design and solve challenging STEM problems to probe the limitations of large language models. Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models typically struggle.