Manufacturing AI Expert — Process & QA Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Contributors use the platform to discover projects, build a unified portfolio, and grow a durable freelance career teaching AI how the world works.

We focus on making specialized AI training work easier to track and apply for while supporting long-term career growth across the industry.

Why AI Training Work Matters

AI systems learn from human examples: careful review, ratings, and written feedback from domain experts directly shape model behavior. This work is cutting edge, fully remote, and widely accessible to skilled practitioners.

Many projects offer flexible, part-time schedules so experienced professionals can contribute domain knowledge alongside other commitments.

The Role

OpenTrain is recruiting a Manufacturing AI Expert to provide high-attention, expert feedback for AI training tasks grounded in manufacturing operations, industrial engineering, quality assurance, and mechanical engineering.

This is a remote contractor role (part-time) focused on document-based evaluation and text-generation tasks that require deep operational knowledge and clear, justified technical writing.

• Employment type: Contractor, Part-time
• Location: Worldwide (remote)
• Language: English required

What You'll Do

Work directly on document-centric AI training tasks that ask you to evaluate procedures, generate expert explanations, and rate the technical accuracy of model outputs.

• Review manufacturing processes and best practices for accuracy and practical improvement.
• Develop and assess Six Sigma process maps, root-cause analysis reports, and production line efficiency models.
• Evaluate assembly line and mechanical engineering operations and recommend improvements in clear written form.
• Contribute quality assurance and operational excellence input for AI training projects.
• Create and review documentation for operational procedures and standards.
• Communicate complex concepts clearly in English while collaborating with a global project team.

Requirements

Candidates must demonstrate the hands-on experience and communication skills needed to produce reliable, defensible feedback for models.

• Experience level: Expert with 5–10+ years of hands-on experience in manufacturing, industrial engineering, quality assurance, or mechanical engineering.
• Demonstrated expertise with Six Sigma, process mapping, and root-cause analysis.
• Extensive experience optimizing production or assembly line efficiency.
• Strong verbal and written English communication skills; ability to document, explain, and justify technical decisions succinctly.
• Proven track record of cross-functional collaboration in remote, multicultural teams.
• Willingness to commit 10+ hours weekly to project tasks (note: time commitment listed below).

Compensation & Time Commitment

This is paid hourly, with a competitive range and a defined expected weekly commitment.

• Pay: USD $40–$65 per hour (typical rate up to $65/hr).
• Time requirement: 20+ hours/week (role description also requests willingness to commit 10+ hours weekly to project tasks).

Helpful Background

The project favors candidates who have held roles such as Operations or Industrial Engineer, QA Director, or Mechanical Engineer and who have worked in technology-enabled manufacturing environments.

• Experience in operations, industrial engineering, QA leadership, or mechanical engineering is a strong fit.
• Familiarity with technology-enabled manufacturing environments is helpful but not strictly required.

How the Work Is Done

Tasks are document-focused and include evaluation ratings and text-generation work using the project's annotation tools (labeled as OTHER). Expect to produce written assessments, rate model outputs, and supply process documentation for training datasets.

• Label types: Evaluation rating and text generation on document data.
• Annotation software: Other/custom tools as provided by the project.
• You will collaborate with a global project team and provide clear, justified feedback for model training.

How to Apply

If you meet the requirements and want to shape how manufacturing-focused AI systems learn, apply through the OpenTrain platform to join OpenTrain’s project team. Include examples of relevant manufacturing work, Six Sigma or process-mapping experience, and brief writing samples or documentation you’ve produced.