Public listing

Data Scientist, Jr.

Superworq United States (Remote)
  • Experience0-2 yrs
  • Work modeYes
  • ListedPosted 7 hours ago
  • SourceLinkedin

Role overview

About the role

Description supplied by the original job listing.

About The Company
AuraOne is a pioneering organization dedicated to advancing research science through innovative AI evaluation methodologies. Our mission is to enhance the reliability and accuracy of scientific models by employing expert reviewers who critically assess AI-generated outputs. By integrating scientific rigor with cutting-edge technology, AuraOne ensures that research science models are validated with the highest standards, enabling breakthroughs that stand up to peer scrutiny. We foster a collaborative and inclusive environment where scientific specialists can contribute remotely, shaping the future of AI-assisted research.
About The Role
The Junior Data Scientist position at AuraOne is a remote contractor role focused on the critical evaluation of AI outputs related to research science reasoning, calculations, and workflows. This role involves reviewing AI-generated derivations and assumptions, reproducing key results, and documenting accurate methodologies. The primary objective is to assist the modeling team by providing precise feedback that enables the training of more reliable AI models. This position is essential in ensuring that scientific models adhere to established conventions and produce valid, reproducible results. Candidates will work independently, applying multi-page rubrics to batches of AI outputs, adjudicating disputed answers, and maintaining high-quality review standards.
Qualifications
Graduate-level training or equivalent applied experience in research science or a closely related field.
Hands-on experience publishing, teaching, or advising on research science topics at a professional level.
Ability to consistently apply multi-page rubrics across extensive review batches.
Strong written communication skills with clear reasoning that cites relevant methods, papers, or worked examples.
Reliable asynchronous availability for a minimum of 10 hours per week.
PhD, postdoctoral experience, or industry research background in the relevant topic area (preferred).
Prior experience reviewing AI-assisted research tools and understanding their failure modes (preferred).
Multilingual fluency enabling review of non-English papers and corpora (preferred).
Responsibilities
Review AI outputs against current research science methods, conventions, and prior work for assigned tasks.
Reproduce or sanity-check key derivations, calculations, or experimental claims presented by AI models.
Identify and flag dimensional, methodological, and citation errors using structured severity tags.
Document corrected reasoning or worked examples to inform and improve AI model training.
Adjudicate disputed answers by referencing textbooks, academic papers, or community standards.
Maintain reviewer-quality scores and participate in inter-rater calibration cycles to ensure consistency.
Audit review batches for rubric adherence and report any drift or inconsistencies to program leads.
Benefits
Flexible remote work model, allowing you to contribute from anywhere within the United States.
Independent contractor status offering autonomy over your work schedule.
Hourly compensation determined post-interview, reflecting your experience and expertise.
Opportunity to engage with cutting-edge AI research and contribute to scientific model validation.
Collaborative environment with access to expert networks and ongoing professional development.
Equal Opportunity
AuraOne is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We welcome applicants from all backgrounds and do not discriminate based on race, ethnicity, gender, sexual orientation, disability, age, religion, or any other protected status. We believe that diversity drives innovation and are dedicated to providing fair and equitable hiring practices for all candidates.

Experience
0-2 yrs

Work arrangement
Yes

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