Contract
AI Trainer for Computational Physics
Computational Physics
Posted on 9/2/2025
Alignerr
Connects experts for AI data annotation
Compensation Overview
$15 - $150/hr
No H1B Sponsorship
Remote in USA
Remote
Candidates must be authorized to work in their country of residence.
 AI & Machine Learning (1) |
|---|
- Master's degree or Ph.D. in Computational Physics, or a related field, with a strong foundation in theoretical and practical aspects of the discipline. Exceptional candidates with a Bachelor's degree in Computational Physics.
- Excellent communication skills, with the ability to convey complex scientific information clearly and concisely, both verbally and in writing.
- Strong analytical and problem-solving skills, with a meticulous attention to detail and a passion for scientific accuracy.
- Interest in the application of AI in scientific research and a drive to contribute to the development of cutting-edge technologies.
- Teaching: Craft clear, insightful explanations and examples to guide AI models toward a deep understanding of key computational physics concepts.
- Evaluation: Rigorously assess the performance of AI models by designing and conducting tests that challenge their capabilities in solving computational physics problems.
- Red Teaming: Identify potential biases, limitations, or inaccuracies in the AI models' understanding, proactively addressing them to ensure robust and reliable performance.
- Collaboration: Work closely with our team of AI researchers and engineers, providing your subject matter expertise to improve training methodologies and refine the AI models' capabilities.
Alignerr is a data-annotation platform that connects subject matter experts with tasks to align generative AI models. It lets experts work remotely on their own schedules, contributing high-quality labeled data for AI researchers, developers, and companies looking to improve their systems. The platform matches tasks to qualified contributors who are paid based on hours worked, with a transparent pay structure and no minimum or maximum hourly commitments. This community-driven model supports flexible, contractor-based participation, enabling scalable data labeling from home. Alignerr’s goal is to provide high-quality annotated data to help train and refine AI models while offering a clear, predictable earnings model for contributors.
Company Size
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Company Stage
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Total Funding
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Headquarters
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Founded
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Simplify's Take
What believers are saying
- Labelbox launched Alignerr Connect marketplace in January 2026 showcasing curated experts.
- Discord community enables knowledge sharing and project notifications among Alignerr contributors.
- End-to-end AI data management integrates human intelligence with Labelbox's core pillars.
What critics are saying
- 3% acceptance rate creates unsustainable vetting costs limiting scalable talent growth.
- YouTube reviews expose low task availability and payout delays eroding trust.
- Scale AI captures 65% LLM alignment market share, undercutting Alignerr pricing.
What makes Alignerr unique
- Selective 3% acceptance rate attracts philosophy, logic, and AI ethics experts.
- Cognitive labeling and ethical alignment tasks require strong logical reasoning skills.
- Integrated with Labelbox's multi-modal platform supporting image, video, audio, text.
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Benefits
Flexible Work Hours