Key Facts

Remote From:

India

Category: Telecommunications Engineer

Part time

English

Hard Skills

Python (Programming Language) LTspice Linux Benchmarking Evaluation Strategy Science Education Containerization

Other Skills

•
Collaboration
•
Strategic Planning

Roles & Responsibilities

Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
Proven proficiency with scientific software libraries through research publications, open-source contributions, or professional work
Strong Python skills for writing problem setups, oracle functions, and solution validators
Ability to work in a Linux/terminal environment with remote compute sandboxes

Requirements:

Design challenging computational problems to test AI systems using real scientific software
Develop problems requiring skilled use of specialized scientific software like scikit-rf and ngspice
Evaluate and refine problems through testing loops against state-of-the-art AI models
Create problems that require strategic planning and efficient query or experiment execution

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Electrical Engineering & RF/Circuit Design Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

Design challenging computational problems to test AI systems using real scientific software.
Develop problems requiring skilled use of specialized scientific software like scikit-rf and ngspice.
Evaluate and refine problems through testing loops against state-of-the-art AI models.
Create problems that require strategic planning and efficient query or experiment execution.
Work independently to refine problem designs based on feedback.
Collaborate asynchronously, ensuring flexibility in hours and meeting deadlines.

Qualifications

Must-Have

Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
Proven proficiency with scientific software libraries through research publications, open-source contributions, or professional work.
Strong Python skills for writing problem setups, oracle functions, and solution validators.
Ability to work in a Linux/terminal environment with remote compute sandboxes.
Available for at least 15–20 hours per week.

Preferred

Experience across multiple listed domains or tools.
Familiarity with benchmark or evaluation design.
Background in scientific teaching or exam/problem-set design.
Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

Upload resume
AI interview based on your resume
Submit form

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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