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Freelance Data Labeling Analyst Jobs (NOW HIRING)

Vadum, Inc.

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

Job Duties and Responsibilities • Review and analyze images. • Apply accurate labels according ... Previous experience in data labeling, image annotation, or quality assurance. * Familiarity with AI ...

Vadum Inc

Data Labeling Specialist

Raleigh, NC

$12 - $15/hr

Job Duties and Responsibilities Review and analyze images. Apply accurate labels according to ... Previous experience in data labeling, image annotation, or quality assurance. * Familiarity with AI ...

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

Review and analyze images. * Apply accurate labels according to project instructions and quality ... Previous experience in data labeling, image annotation, or quality assurance. * Familiarity with AI ...

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How much do freelance data labeling analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for freelance data labeling analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is a freelance data labeling analyst?

A Freelance Data Labeling Analyst is a professional who works independently to tag, categorize, or annotate data—such as images, texts, or audio—to help train machine learning models. These analysts play a crucial role in ensuring that artificial intelligence systems receive accurate and high-quality training data. Their work typically involves reviewing raw data and applying specific labels according to established guidelines. Freelance analysts can work remotely for various clients, often via online platforms or data annotation companies. This job requires attention to detail, consistency, and sometimes domain-specific knowledge.

What are the key skills and qualifications needed to thrive as a freelance data labeling analyst?

To thrive as a Freelance Data Labeling Analyst, you need strong attention to detail, data literacy, and a solid understanding of data annotation standards, often supported by a background in computer science or related fields. Familiarity with data labeling platforms, annotation tools like Labelbox or Supervisely, and sometimes knowledge of Python or SQL is valuable. Diligence, self-motivation, and the ability to follow complex guidelines set apart top analysts in this role. These skills ensure accurate, high-quality labeled datasets that are crucial for effective machine learning model training.

What are some common challenges freelance data labeling analysts face when working with multiple clients?

Freelance Data Labeling Analysts often juggle varied guidelines, annotation tools, and project requirements from different clients. Adapting quickly to new labeling standards and software platforms is essential, as each client may have their own specifications for data quality and turnaround times. Additionally, managing communication across multiple teams and ensuring consistent delivery can require strong organizational skills and proactive time management. Building a transparent workflow and clarifying expectations with each client helps mitigate these challenges.

What is the difference between Freelance Data Labeling Analyst vs Data Annotator?

AspectFreelance Data Labeling AnalystData Annotator
CredentialsBasic data labeling skills, sometimes certifications in data annotation toolsSimilar; often no formal certifications required
Work EnvironmentRemote, freelance projects for various clientsRemote or in-house, depending on employer
Industry UsageUsed across AI, machine learning, and data science projectsPrimarily in AI training datasets and machine learning
Search & Comparison IntentHigh overlap; both involve labeling data for AI models

Both Freelance Data Labeling Analysts and Data Annotators perform data labeling tasks essential for training AI models. The main difference lies in the freelance nature and potential project variety for Analysts, while Annotators may work more consistently within specific companies or platforms. Both roles require similar skills and are used widely in AI and machine learning industries.

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Freelance Data Labeling Analyst jobs near you
Infographic showing various Freelance Data Labeling Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst (Freelance) - Remote

Accelerate Action, Inc.

Boston, MA • On-site, Remote

$70 - $95/hr

Contractor

Posted 13 days ago

Job description

Opportunity: Data Analyst (Freelance) - Remote
Organization: Accelerate Change
Reports to: Kim Hohman, Chief Program Officer
Location: This is a remote freelance opportunity for an individual based anywhere in the U.S.
About Accelerate Change
Founded in 2012, Accelerate Change is a nonprofit (c3/c4) digital media lab. We work to increase civic engagement with BIPOC and low-income communities through digital media. Our programs include:
  • Scaling emerging cultural media properties
  • Investing in established cultural media properties
  • Building influencer networks
  • Leading a digital media lab
  • Driving civic engagement campaigns

Learn more about our theory of change, approach, and impact at https://acceleratechange.org/about/
Our team is made up of digital media innovators and operators who bring a mix of tech, business, civic engagement, and media backgrounds. Meet our team and learn more about our culture at https://acceleratechange.org/values-team/
About the Opportunity
Accelerate Change is seeking a freelance Data Analyst to support our voter registration and 'get out the vote' (GOTV) program for election cycle 2026. This data lead will measure the impact of GOTV outreach and translate data into clear, actionable insights.
Here's what you could expect to do as a freelance Data Analyst (key responsibilities):
  • Develop and document a clear measurement framework to assess the impact of GOTV outreach (e.g., registration, turnout, engagement).
  • Analyze Facebook Messenger and SMS campaign performance, including timing, messaging, and audience segmentation.
  • Conduct voter file matching analysis to evaluate the effectiveness of outreach efforts.
  • Build and maintain Looker Studio dashboards that provide accessible, decision-useful insights for internal teams and partners.
  • Generate ongoing reports during GOTV periods to monitor performance and surface actionable insights.
  • Produce a comprehensive post-GOTV analysis summarizing outcomes, learnings, and recommendations.
  • Translate complex data into clear narratives and visualizations for internal stakeholders and external partners.
  • Collaborate with internal staff to define required data inputs and ensure alignment between data collection and measurement goals.
  • Identify trends, gaps, and opportunities to improve future GOTV strategies and data practices.
  • Support ad hoc analysis requests and data inquiries from internal teams as needed.

What We're Looking For
  • Commitment to social justice. Accelerate Change is a mission-driven organization focused on social change and social justice, with a focus on communities of color. You have a demonstrated commitment to this work and you'd like to be part of a team of people who do, too.
  • 3+ years experience with key responsibilities: We're looking for someone who has at least 3 years of hands-on experience with data systems management, BigQuery, Looker Studio, and statistical models. Experience with voter file matching and civic engagement metrics is a plus.
  • Creative Problem-Solver: Creative thinking to find innovative solutions to data challenges
  • Excellent Communication Skills: Strong written and verbal communication skills for understanding project requirements and collaborating with team members
  • Excellent Time Management: Ability to work independently, manage time effectively, and meet deadlines consistently

Compensation
This is a 4-month, freelance opportunity with the potential to renew. The compensation range is $70 - $95 per hour, depending on experience. The number of hours per week will vary, but we estimate roughly between 10 to 20 hours per week.
Apply
To apply, please upload your resume and tell us more about your experience on the application on our website.
Accelerate Change is an equal opportunity employer. We believe that people of color, people from working class backgrounds, women, and LGBTQIA+ people must be centered in the work we do. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.

Apply