We are sharing a specialised consulting opportunity for PhD-level academics and researchers with strong expertise in research, academic writing, critical analysis, peer review, research methodology, data analysis, and technical communication to contribute to an advanced AI training and expert evaluation project.
Selected professionals will evaluate how advanced AI systems reason within their academic discipline, create rigorous prompts and reference answers, and identify subtle errors, weak assumptions, or shallow reasoning in model outputs. The work is open to experts across both technical and humanities disciplines and requires research-grade judgement, intellectual depth, and clear written communication.
Key Responsibilities
Academic & Subject-Matter Evaluation
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Evaluate AI-generated responses within your academic field for accuracy, depth, and reasoning quality
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Assess whether conclusions are supported by appropriate evidence, methodology, and disciplinary standards
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Identify subtle factual, conceptual, methodological, or interpretive errors
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Distinguish expert-level reasoning from superficial or incomplete analysis
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Apply advanced subject-matter judgement across complex and ambiguous scenarios
Prompt & Reference Answer Development
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Create expert-level prompts that meaningfully test advanced reasoning within your discipline
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Develop high-quality reference answers grounded in research-grade standards
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Structure prompts to require genuine analysis rather than simple recall
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Document assumptions, reasoning, and supporting evidence clearly
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Ensure reference material is technically or academically defensible
Research Methodology & Critical Analysis
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Apply appropriate research methods when assessing complex questions
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Review the quality of evidence, analytical approaches, and methodological choices
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Identify weak causal claims, unsupported assumptions, or incomplete reasoning
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Evaluate whether research conclusions are proportionate to the available evidence
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Apply disciplinary standards to both qualitative and quantitative analysis where relevant
Academic Writing & Peer Review
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Review AI-generated content using standards comparable to academic peer review
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Evaluate clarity, structure, argument quality, sourcing, and technical precision
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Provide detailed critiques explaining weaknesses and recommended improvements
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Edit or refine reference material to reflect strong academic writing
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Maintain high standards of accuracy, nuance, and intellectual rigour
Expert Standards & Model Improvement
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Help define what expert-level performance should look like within your field
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Identify recurring weaknesses in model reasoning or subject-matter understanding
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Provide structured feedback that improves model capability
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Contribute domain-specific insight across technical, scientific, humanities, or writing-focused tasks
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Maintain consistent evaluation standards across varied assignments
Ideal Profile
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PhD from a highly ranked university in a relevant academic discipline
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Relevant fields may include STEM disciplines, English, literature, journalism, humanities, or comparable research-intensive areas
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Strong research background and familiarity with academic or professional literature
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Excellent academic writing and critical-analysis skills
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Strong understanding of research methodology and evidence evaluation
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Experience with peer review, scholarly critique, or expert assessment is highly valued
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Ability to identify subtle reasoning errors and methodological weaknesses
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Strong data-analysis skills where relevant to the candidate's discipline
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Excellent written English and ability to explain complex ideas clearly
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Candidates based in English-speaking countries are preferred
Engagement Details
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Independent contractor engagement
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Fully remote
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Compensation: $245–$280/hour
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Work will involve subject-matter evaluation, prompt development, reference-answer creation, academic critique, research methodology, and expert-level AI-output review
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Strong academic expertise and research-grade written communication are central to this engagement
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Assignments may span technical, scientific, humanities, or writing-intensive disciplines depending on individual expertise
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Project scope, workload, disciplinary focus, and evaluation standards may evolve depending on project requirements
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Work must be completed without using confidential or proprietary information belonging to any employer, client, university, research group, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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