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Freelance Data Classification Jobs (NOW HIRING)

Alignerr

Biotech Health Data Governance Lead

Dallas, TX · Remote

Define and enforce data policies covering classification, access controls, security, and metadata ... Freelance autonomy with the substance of meaningful, high-impact work * Direct contribution to AI ...

Prodigious Worldwide

Manager, Data and Analysis

Chicago, IL · On-site

$88.54K - $127.16K/yr

Experience with modern statistical learning methods (regression techniques, classification models ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

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How much do freelance data classification jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for freelance data classification in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Data Classification specialist, and why are they important?

To thrive as a Freelance Data Classification specialist, you need strong analytical skills, attention to detail, and familiarity with data management concepts, often supported by a relevant degree or data science coursework. Proficiency with data labeling tools, spreadsheets, and sometimes machine learning platforms is typically required. Effective communication, time management, and self-motivation are essential soft skills for collaborating remotely and meeting project deadlines. These skills ensure accurate, high-quality data categorization, which is critical for the success of AI and data-driven projects.

What are the common challenges faced by freelance data classification professionals and how can they be managed?

Freelance data classification professionals often encounter challenges such as dealing with ambiguous or incomplete data, maintaining consistency across large datasets, and adhering to varying client guidelines. To manage these, it's important to clarify requirements with clients upfront, develop a systematic approach for labeling, and use quality control tools or peer reviews when possible. Staying organized and regularly updating your knowledge of industry standards also helps ensure high-quality work and client satisfaction.

What is freelance data classification?

Freelance data classification involves working independently to organize, label, or categorize data sets for various clients or companies. This can include tagging images, sorting text, classifying documents, or structuring large amounts of data to make it more accessible and usable for machine learning or business analysis. Freelancers in this field often work remotely and may be hired for short-term projects or ongoing data needs. Strong attention to detail and familiarity with data annotation tools are essential for success in this role.
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Freelance Data Classification jobs near you
Infographic showing various Freelance Data Classification job openings in the United States as of May 2026, with employment types broken down into 55% Full Time, 42% Part Time, 2% Contract, and 1% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Biotech Health Data Governance Lead

Alignerr

Dallas, TX • 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 operates within one of the world's most consequential industries? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial 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 who know what it takes to govern sensitive data in regulated life sciences environments.
  • 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 full auditability for scientific analysis and regulatory submissions
  • Define and enforce data policies covering classification, access controls, security, and metadata standards across research, clinical, regulatory, and partner teams
  • Enable secure, governed data access for analytics, innovation, and external collaborations - while rigorously protecting confidential and patient-related information
  • Identify gaps in existing data governance frameworks and lead initiatives to close them
  • Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and workflows
Who You Are
  • Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
  • Deep understanding of data privacy, security, compliance, and regulatory expectations as they apply to research and clinical trial data
  • Skilled at working across scientific, IT, compliance, and business teams to drive alignment on data standards and processes
  • Detail-oriented, systematic, and comfortable operating in complex, high-stakes data environments
  • Self-directed and reliable when working independently in a remote, asynchronous setting
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training data systems
  • Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6 GCP, or GDPR as applied to clinical and research data
  • Background in bioinformatics, clinical data management, or research informatics
  • Experience working with or evaluating AI-generated outputs in a scientific or regulated context
Why Join Us
  • Work at the intersection of life sciences and cutting-edge AI with leading research organizations
  • Fully remote and flexible - structure your work around your life, not the other way around
  • Freelance autonomy with the substance of meaningful, high-impact work
  • Direct contribution to AI initiatives that are advancing how science is conducted and how discoveries are made
  • Potential for ongoing work and contract extension as new projects launch

Apply