AI Trainer - Graphical Abstract - Physics (Remote - Toronto)

Prolific; Toronto; On-site; CAD 76,057; Part time

Job summary

A leading research firm is seeking an experienced AI Trainer specializing in Materials Science to join its expert network. This remote role involves reviewing scientific papers and graphical abstracts to ensure accuracy and improve AI models. Candidates must have deep expertise in their field, a verifiable professional history, and the ability to concentrate on complex tasks. Compensation starts at $40 per hour based on client demand and profile fit.

Qualifications

• Expertise in Materials Science or Graphical Abstract.
• Verifiable LinkedIn presence or professional history required.
• Reliable internet connection and access to a computer.

Responsibilities

• Review a materials science paper and graphical abstract to identify inaccuracies.
• Improve AI models based on findings from document audits.

Skills

Deep expertise in Materials Science

Attention to detail

Ability to concentrate on complex tasks

Job description

AI Trainer - Materials Science Specialists (Remote Advisory)

We are seeking AI Trainers – Materials Science Specialists to join our expert B2B and AI research network. Our work supports global organizations with high‑level corporate intelligence, and we rely on executive‑level expertise to validate complex Materials Science and Graphical Abstract data.

Researchers typically pay $40+/hr. You should be prepared to complete tasks requiring up to one hour of focus.

What you'll bring (Qualifications)

• Deep expertise in Materials Science and/or Graphical Abstract.
• Verifiable LinkedIn presence or professional history.
• Strong attention to detail and ability to concentrate on complex tasks for up to one hour at a time.
• A reliable, fast internet connection and access to a computer.
• Paypal account to receive payment from clients.

What you'll be doing (Responsibilities)

• Strategic document audit: Review a materials science scientific paper and a graphical abstract generated by an LLM and identify issues where the abstract does not accurately represent the paper.
• Improve cutting‑edge AI models.

All qualified candidates are welcome to apply. Participation is invite-only and will depend on client demand and profile fit.