Role Description
We are sharing a specialised consulting opportunity for Physical Sciences Research Assistants with strong expertise in methodological rigor, experimental reasoning, quantitative analysis, protocol fidelity, technical documentation, and scientific evaluation to contribute to an advanced AI training and research-assessment project.
Selected professionals will:
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Design sophisticated evaluation tasks in the physical sciences
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Work with authentic scientific datasets and research materials
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Develop rigorous methodological solutions
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Author detailed grading rubrics that assess numerical accuracy, technical reasoning, scientific interpretation, and adherence to research protocols
No prior experience in AI is required.
Qualifications
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Bachelor's or Master's degree in physics, chemistry, materials science, or a closely related discipline
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Minimum 2 years of hands-on research experience or applied technical project work in the physical sciences
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Strong quantitative-analysis skills
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Demonstrated methodological rigor in scientific environments
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Experience interpreting experimental or computational results
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Strong ability to document complex technical procedures clearly
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Excellent professional written English
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Experience authoring scientific assessments or evaluation rubrics is advantageous
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Comfortable working with datasets, spreadsheets, PDFs, and varied technical-document formats
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Strong attention to protocol fidelity and reproducibility
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Ability to assess scientific work against detailed evaluation criteria
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No prior AI-training or model-evaluation experience is required
Requirements
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Independent contractor engagement
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Fully remote
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Displayed compensation range: $30β$50/hour
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Actual compensation structure is output-based, with payment made per task that meets project specifications
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Task completion time may vary depending on individual experience and workflow
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Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
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Work will involve scientific task design, experimental reasoning, quantitative analysis, research-artifact curation, technical documentation, and rubric development
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Strong methodological rigor and scientific judgement are central to this engagement
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Roles are typically filled within approximately 48 hours
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Selected experts are expected to begin initial tasks within approximately 24β48 hours after onboarding
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Project scope, workload, research domains, 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, institution, or other third party
Company Description
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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