- Experiencia
- Cualquier
- Salario
- USD 90 – USD 90 / hour
- Vacantes
- 1
- Al corriente
- Hace 3 horas
- Modo de trabajo
- Trabajar desde casa
- Educación
- MS in Electrical Engineering or closely related field
- Elegibilidad
- Applicants with an MS or PhD in Electrical Engineering or a closely related field who can independently verify graduate-level EE solutions and commit to the stated weekly review load.
- Reanudar
- Se requiere solicitud
Descripción del trabajo
About the Role
This opportunity is with Mercor, a company that connects top-tier creative and technical professionals with AI research labs. The company is based in San Francisco and counts Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey among its investors.
The opening is for a STEM QA Reviewer focused on Electrical Engineering. It is a remote, short-term contract engagement lasting 3 weeks, from 6/5 to 6/25, with compensation set at $90 per hour.
What You Will Do
- Review the quality of STEM questions and simulated research settings used as training material.
- Judge whether simulated research environments feel scientifically realistic, are built well, and offer enough variety.
- Check individual STEM problems for clear task wording, correct ground-truth answers, and reliable grading logic.
- Record structured observations in standardized review forms to help determine whether the training data is suitable.
- Issue Accept, Revise, or Reject decisions and back them up with specific reasoning.
What the Role Requires
- An MS or PhD in Electrical Engineering or a closely related discipline.
- The ability to independently confirm ground-truth solutions for graduate-level electrical engineering problems.
- Strong scientific judgment along with clear written communication skills.
- Availability to complete about 2.5 reviews per week, with roughly 2 to 4 hours needed for each review.
Compensation and Contract Details
- This is an hourly contractor engagement.
- Payment is made weekly through HFI (Surveyor).
Application Process
The application is expected to take around 20 to 30 minutes. Candidates need to upload a resume, complete an AI interview based on that resume, and then submit the form.
Additional Information
Applicants can refer to the employer’s documentation for interview and platform details. Support is available through the provided company contact email.
The hiring team reviews applications every day, and candidates must finish both the AI interview and the application steps to be considered.