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Freelance Classification Analyst Jobs (NOW HIRING)

Alignerr

Biotech Health Data Governance Lead

Tampa, FL · Remote

... analysis and regulatory submissions * Define and enforce data policies for classification, access ... Freelance autonomy with the structure of meaningful, high-impact work * Make a direct contribution ...

Optidge

SEO Strategist Freelancer

Houston, TX · On-site

$30 - $35/hr

A high level of data analytics skills, experience with SEO content brief creation, and enjoyment of ... Regardless of your employee classification, we offer benefits that align to our values, including:

OPTIDGE INC

SEO Strategist Freelancer

Houston, TX · Remote

$30 - $35/hr

A high level of data analytics skills, experience with SEO content brief creation, and enjoyment of ... Regardless of your employee classification, we offer benefits that align to our values, including:

Alignerr

Biotech Health Data Governance Lead

Dallas, TX · Remote

... analysis and regulatory submissions * Define and enforce data policies covering classification ... Freelance autonomy with the substance of meaningful, high-impact work * Direct contribution to AI ...

Solomon Page

Technical Data Steward

Coppell, TX · On-site

$45 - $56/hr

Ensure accurate tagging and classification of sensitive and PII-related data assets * Maintain ... Support impact analysis, traceability, and governance reporting initiatives * Monitor and maintain ...

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How much do freelance classification analyst jobs pay per year?

As of Jun 4, 2026, the average yearly pay for freelance classification analyst in the United States is $79,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $87,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Classification Analyst jobs? The most popular types of Classification Analyst jobs are:
Freelance Classification Analyst jobs near you
Infographic showing various Freelance Classification Analyst job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $79,306 per year, or $38.1 per hour.

Biotech Health Data Governance Lead

Alignerr

Indianapolis, IN • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Biotech Health Data Governance Lead (AI Training)
About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with life sciences research at the highest level? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory filings, and advanced AI-driven analytics.
This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments who want to do meaningful, high-impact work on their own terms.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability across scientific analysis and regulatory submissions
  • Define and enforce data policies for classification, access, security, and metadata across research, clinical, regulatory, and partner teams
  • Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting confidential and patient-related information
  • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
  • Support AI model development by ensuring underlying life sciences data meets the highest standards of quality and compliance
Who You Are
  • Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
  • Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
  • Skilled at bridging scientific, technical, and business teams to align on data standards and best practices
  • Detail-oriented, systematic, and confident working independently in a remote, asynchronous environment
  • Comfortable navigating complex, multi-stakeholder data ecosystems with clarity and authority
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, GDPR, or HIPAA
  • Background in clinical data management, biostatistics, or health informatics
  • Experience working with AI or machine learning teams in a life sciences context
Why Join Us
  • Work at the intersection of life sciences and cutting-edge AI research alongside world-leading teams
  • Fully remote and flexible - structure your work around your schedule
  • Freelance autonomy with the substance of high-stakes, meaningful projects
  • Contribute directly to AI systems that could accelerate scientific discovery and improve human health
  • Potential for ongoing work and contract extension as new projects launch

Apply