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Freelance Data Labeling Analyst Jobs (NOW HIRING)

Social Factor

Freelance Data Analyst

Austin, TX · On-site

Social Factor is looking to find US-based, qualified, available freelance Data Analysts to jump in on projects or new business opportunities that are currently in the pipeline. The role will be ...

Social Factor

Freelance Data Analyst

Austin, TX · On-site

Social Factor is looking to find US-based, qualified, available freelance Data Analysts to jump in on projects or new business opportunities that are currently in the pipeline. The role will be ...

Welocalize

Finnish Data Labeler

Seattle, WA · On-site

$26 - $28/hr

Data Labeling Analyst * Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) * Hours: Full-time, 40 hours per week * Employment Type: W2 Full-Time Employee * Work Authorization: Must be ...

Welocalize

Finnish Data Labeler

San Francisco, CA · On-site

$26 - $28/hr

Data Labeling Analyst * Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) * Hours: Full-time, 40 hours per week * Employment Type: W2 Full-Time Employee * Work Authorization: Must be ...

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Freelance Data Labeling Analyst information

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

As of Sep 8, 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 September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Freelance Data Analyst

Austin, TX • On-site

Social Factor
Advertising and Public Relations Services • 51 - 200 employees
Learn more about Social Factorexternal

Temporary

Posted 9 days ago

Job description

Social Factor is looking to find US-based, qualified, available freelance Data Analysts to jump in on projects or new business opportunities that are currently in the pipeline. The role will be focused primarily on Sprinklr Implementation projects like building dashboards, query/topic writing, report writing, etc. This temporary freelance role could be ~20 hours/week depending on the new business pipeline.
Qualifications & Responsibilities:
  • Advanced hands-on experience with Sprinklr, particularly Social Listening, Reporting, and Insights.
  • Build, test, refine, and maintain complex Boolean queries, listening topics, themes, and keyword groups.
  • Configure Sprinklr rules, tags, custom fields, classifications, and automated workflows to support accurate reporting and analysis.
  • Design and maintain Sprinklr dashboards, widgets, filters, and reporting views aligned with client and business objectives.
  • Perform quality assurance on queries, dashboards, tagging structures, data accuracy, calculations, and report outputs.
  • Adapt dashboards and reports for different audiences, including analysts, client teams, senior leaders, and executives.
  • Work independently in a remote freelance environment and communicate proactively about progress, questions, risks, and deadlines.
  • Create or follow established templates, methodologies, naming conventions, documentation standards, and quality-control processes.
  • Experience with Excel or Google Sheets and PowerPoint or Google Slides; experience with additional social listening, data visualization tools (Data Studio previously known as Looker Studio) or business intelligence platforms is a plus.
  • Apply strong understanding of social media metrics, earned and owned media measurement, sentiment analysis, and digital analytics.
  • Manage multiple reporting assignments and deadlines while maintaining accuracy, consistency, and attention to detail.

  • This position requires a demonstration of technical aptitude that translates into programming and/or software deployment management; 2-4 years of Sprinklr experience.
  • Minimum of Windows 10 and macOS 12.X
  • Internet speed requirement of a minimum of 50 mbps

Social Factor Culture
Social Factor is a social media agency that believes in the power of Human Connection. Our talented teams take the fear out of scale and unleash our clients' brands to listen, reach, and respond. Here at Social Factor, we encourage our employees to embrace the casual atmosphere of a growing dynamic agency. Our team members are humble yet bold, motivated and hardworking, ready to serve and help others, and always interested in the latest the digital world has to offer. If this describes you, we'd love to hear from you!

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