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Precision Medicine Data Lead

Alignerr

AI & Data Training Contractor
Remote (Global) $40 – $80/hr May 22, 2026

Job description

Precision Medicine Data Lead (AI Training)

About the Role

What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to bring deep healthcare and life sciences knowledge to cutting-edge AI training projects — helping build the foundation for smarter, more accurate medical AI.

This is a fully remote, flexible contract role designed for experienced professionals in genomics, clinical informatics, or life sciences data leadership. Your domain expertise will directly influence how AI systems reason about complex healthcare data.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Design, evaluate, and optimize approaches for integrating genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics frameworks
  • Lead analytical strategies that convert complex, multi-source datasets into actionable insights for precision medicine and clinical research applications
  • Assess and provide structured feedback on AI-generated outputs in healthcare and life sciences contexts — flagging inaccuracies, gaps in clinical reasoning, and areas for improvement
  • Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
  • Translate complex genomic and clinical findings into clear, structured evaluations that help AI systems learn from domain expertise
  • Work independently and asynchronously on task-based assignments — fully on your own schedule

Who You Are

  • Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
  • Strong background in data integration, data governance, and translating complex biomedical data into meaningful clinical insights
  • Comfortable working cross-functionally across clinical, research, and engineering contexts in regulated or highly technical environments
  • Naturally detail-oriented with a rigorous, systematic approach to evaluating data quality and scientific accuracy
  • Clear and concise communicator who can document findings and reasoning with precision

Nice to Have

  • Prior experience with data annotation, data quality assessment, or AI evaluation workflows
  • Background in bioinformatics, clinical informatics, computational biology, or a related discipline
  • Familiarity with EHR systems, genomic platforms, or healthcare data standards (HL7, FHIR, etc.)
  • Experience working in or alongside regulated clinical or research environments
  • Exposure to large language models or AI tools in a scientific or medical context

Why Join Us

  • Work on cutting-edge AI projects alongside world-leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, impactful work
  • Apply deep domain expertise to problems at the frontier of AI and healthcare
  • Contribute to AI systems that could reshape how personalized medicine is practiced at scale
  • Potential for ongoing work and contract extension as new projects launch
Apply now

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Frequently asked questions

Is Alignerr legitimate?
Yes, Alignerr is a legitimate company listed on RemoWork. We verify all companies on our platform. However, we always recommend doing your own research before sharing personal information or starting work. Check reviews from other users and visit the company's official website for the most up-to-date information.
How do I get started with Alignerr?
To get started, visit Alignerr's official website and look for their careers or sign-up page. Create an account, complete your profile with relevant skills and experience, and apply for available positions or projects. Some companies may require you to pass a qualification test or assessment before you can start working.
Does Alignerr offer remote work?
Yes, Alignerr offers remote work opportunities. Most tasks and positions can be completed from anywhere with a reliable internet connection and a computer or smartphone. Specific location requirements may vary by project or role, so check individual listings for details.
How does Alignerr pay its workers?
Payment methods and schedules vary. Common payment options include PayPal, bank transfers, Payoneer, and other digital payment platforms. Visit Alignerr's official website or check their payment/FAQ section for specific details about payment methods, minimum thresholds, and payout schedules.
What skills do I need to work with Alignerr?
Required skills vary by role and project. Generally, you'll need a reliable internet connection, basic computer literacy, strong attention to detail, and good communication skills. Some positions may require specialized expertise, language proficiency, or technical qualifications. Check individual job listings for specific requirements.
What type of AI work does Alignerr focus on?
Alignerr specializes in AI alignment and model evaluation tasks. Contributors help ensure AI models produce safe, accurate, and helpful outputs by evaluating model responses, identifying errors or biases, and providing human feedback that improves AI behavior and alignment with human values.
Do I need technical AI knowledge to work with Alignerr?
While technical AI knowledge is a plus, many Alignerr tasks are designed for non-technical contributors with strong critical thinking, writing, and analytical skills. The ability to evaluate content quality, identify factual errors, and provide clear feedback is more important than programming expertise for most roles.
How does Alignerr ensure quality in its work?
Alignerr implements multi-layered quality assurance including calibration tasks, consensus scoring between annotators, regular quality audits, and feedback loops. Contributors are expected to maintain high accuracy scores, and ongoing training helps maintain consistent quality standards.
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