Senior Metallurgist and Welding Inspector

You will make technical judgments on materials and manufacturing evidence used to train AI systems. The work covers metals, weldments, coatings, and laser powder bed fusion additive-manufacturing builds.

You will decide whether evidence meets applicable requirements and determine the appropriate disposition when defects or other issues appear.

• Evaluate metallographic microstructures and decide whether materials conform to requirements.
• Analyze heat-treatment processes and acceptance evidence using AMS 2750, ASTM E112, and related US specifications.
• Inspect coatings under NACE/AMPP and SSPC protocols, including surface integrity and protection requirements.
• Review build and cross-sectional data for laser powder bed fusion defects and determine the appropriate disposition.
• Apply NADCAP, AWS, ASTM, and AMS standards to metal samples, weldments, coatings, and additive-manufacturing builds.

What it pays and takes

• Pay: $40 to $60 per hour in USD.
• Schedule: Approximately 10 hours per week on a flexible schedule.
• Work arrangement: Fully remote contractor role.
• Location: Open to candidates in AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, and ZA.
• Language: English fluency required.
• Experience: At least eight years making accept or reject decisions involving micrographs, weld macros, fracture surfaces, coatings, or laser powder bed fusion additive builds.
• Standards knowledge: Advanced knowledge of ASTM, AMS, AWS, NADCAP, NACE/AMPP, and SSPC standards.
• Credentials: Current or prior AWS Certified Welding Inspector credentials, or an equivalent metallurgical certification.
• Technical knowledge: Familiarity with additive-manufacturing processes, especially laser powder bed fusion and related defect mechanisms.
• AI experience: No prior AI experience is required.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 6 screening questions.

About AI training work

AI training is the human work behind many AI systems. People review examples, label information, and provide expert judgments so models can learn how to handle real-world material.

Specialist knowledge matters when an AI system must interpret technical evidence or follow industry standards. This role uses metallurgical and welding expertise to evaluate examples for that purpose.