Systems Engineering Expert - Fully Remote
Mercor
Date: 3 days ago
City: Remote, Remote
Contract type: Full time
Remote
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: AI Tutor – Industrial and Systems Engineering Specialist
Type: Full-time
Compensation: $90,000–$200,000/year
Location: Palo Alto, CA (in-office, 5 days per week) or Remote
Commitment: 40 hours/week
Role Responsibilities
Must-Have
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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: AI Tutor – Industrial and Systems Engineering Specialist
Type: Full-time
Compensation: $90,000–$200,000/year
Location: Palo Alto, CA (in-office, 5 days per week) or Remote
Commitment: 40 hours/week
Role Responsibilities
- Use proprietary tools to label, annotate, and evaluate data across industrial and systems engineering domains.
- Support AI training initiatives by curating high-quality, structured datasets.
- Collaborate with research teams to refine annotation processes and enhance workflow efficiency.
- Analyze complex engineering problems and assess AI-generated solutions for technical accuracy.
- Interpret evolving task instructions with precision, applying strong professional judgment.
Must-Have
- Master’s or PhD in Industrial Engineering, Systems Engineering, or a closely related field.
- Strong written and verbal communication skills in both professional and informal English.
- Skilled in research, data analysis, and using engineering databases and online resources.
- Excellent analytical, problem-solving, and organizational abilities.
- Ability to work independently and exercise sound judgment in ambiguous scenarios.
- Passion for technological progress and AI innovation in engineering applications.
- PhD in Industrial or Systems Engineering with hands-on professional experience.
- Publications or research contributions in reputable engineering journals.
- Teaching or tutoring experience in engineering, systems optimization, or applied sciences.
- Prior work in AI data training, technical writing, or industrial research.
- Experience with complex, real-world engineering systems and processes.
- Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location.
- Access to medical benefits, subject to your country of residence.
- Submit your resume.
- Complete a 20-minute introductory interview.
- Selected candidates will move on to a focused engineering data evaluation exercise.
- Finalists will participate in a team discussion and review of their expertise.
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
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