- Experience
- 3+ yrs
- Salary
- USD 1,150 – USD 1,450 / month
- Openings
- 1
- Posted
- 2 days ago
Job description
About the role
This opportunity is with Mercor, a company that connects highly skilled creative and technical professionals with AI research organizations. The team is headquartered in San Francisco and is backed by investors such as Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position details
The role is for a Manufacturing - Automotive (Mechanical Engineering) Expert. It is a contract assignment that can be done remotely.
What you will do
- Create a lifelike digital work environment based on the Drive folders you use in your regular work, including design review files, DFMEA/PFMEA documents, PPAP packages, tolerance studies, benchmarking presentations, test outputs, and email exchanges.
- Develop multi-stage assignments that reflect actual engineering workflows and require moving across several applications, files, and stakeholders to test advanced AI agents.
- Partner with fellow automotive engineering specialists to shape the environment, define the scope of tasks, and assess scenarios for authenticity and technical rigor.
- Work independently with research teams to improve task design and the criteria used to evaluate automotive engineering agent benchmarks.
- Help advance frontier AI research by contributing to benchmark design that influences how leading labs train and assess next-generation AI systems.
Required background
Candidates should hold a BS or MS in Mechanical Engineering or a closely related field and have at least 3 years of full-time experience with a Fortune 500 automotive OEM or Tier-1 supplier. Experience should include one or more of the following areas: vehicle or subsystem design, CAE/CAD/simulation engineering, manufacturing/process engineering, or quality engineering. Day-to-day familiarity with ANSYS Fluent, STAR-CCM+, Siemens Opcenter, or SAP S/4HANA is also expected. Strong analytical reasoning and writing ability are important.
Compensation and legal details
Payment is described on a per-task basis at $1,150 to $1,450 per task, with quality-dependent pay and a weekly bonus for strong performers. The role may later shift to hourly compensation if sustained quality and throughput are demonstrated.
Application steps
The application process is estimated to take 20 to 30 minutes and includes three steps: uploading a resume, completing an AI interview based on the resume, and submitting the form.
Support and resources
Applicants can refer to the platform documentation for more information about the interview and application process. Support is available through the company help email.
Additional information
The application team reviews submissions every day. To be considered, applicants should complete both the AI interview and the remaining application steps.