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Freelance Data Classification Jobs (NOW HIRING)

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

Implement extraction classification clustering annotation entity resolution * Improve dataset ... Flexible schedule | Freelance opportunities | Part-time hours | Project based work * Part-time ...

Socket.dev

Senior Analyst, Data Enablement

Manhattan, NY · On-site

$73 - $113/hr

Develop and implement scalable classification logic and data transformation rules using SQL and/or ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

UNAVAILABLE

Associate Director, Data and Analysis

Boston, MA · On-site

$112.29 - $172.03/hr

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

Procter & Gamble

Research Technician

Mason, OH · On-site

$17 - $23.25/hr

... other data points and analysis to issue a final recommendation. * Demo development / technical ... Classification, analysis and documentation of product information to support regional competitive ...

Procter & Gamble

Research TechnicianOn-Site

Mason, OH

$17 - $23.25/hr

... data points and analysis to issue a final recommendation. Demo development / technical right to ... Classification, analysis and documentation of product information to support regional competitive ...

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Freelance Data Classification information

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$47

$132

How much do freelance data classification jobs pay per hour?

As of Aug 26, 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 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.

What are the key skills and qualifications needed to thrive as a freelance data classification specialist?

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.
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Freelance Data Classification jobs near you
Infographic showing various Freelance Data Classification job openings in the United States as of August 2026, with employment types broken down into 29% Full Time, 29% Part Time, and 42% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Computer Scientist (Top Secret Cleared)

Washington, DC • On-site

Aitopics
See more jobs at Aitopicsexternal

$80 - $110/hr

Other

Medical, Dental, Life, Retirement

Posted 7 days ago

Job description

Responsibilities
  • Evaluate COTS software
  • Evaluate open source software
  • Implement information processing projects
  • Improve performance, security, and functionality
Work Arrangement and Location

Hybrid work mode, Professional development opportunities, Mid-level position at Georgetown University, Main Campus: Walsh School.

Technologies and Tools
  • AWS Batch
  • Agile
  • AWS Athena
  • AWS Redshift
  • Apache Airflow
  • Adobe Analytics
  • Agentic AI
  • Anthropic Claude
  • Algorithms
  • Clustering
  • Component analysis
  • Data Structures
  • Deep learning
  • Dash
  • Data Mining
  • Data Modeling
  • Data Quality
  • Data Visualization
  • Electromagnetism
  • Mechanics
  • NumPy
  • Numerical Simulation
  • Pandas
  • Computational physics
  • C#
  • MATLAB
  • Computer Vision
  • Convolutional Neural Networks
  • Data Pipelines
  • Gradient boosting
  • Adaptive Sampling
  • Bayesian Inference
  • Bayesian Modeling
  • Code review
  • Distributed Computing
  • Cause analysis
  • Data Drift
  • Excel
  • Anomaly Detection
  • Big Data
  • Classification
Benefits
  • 401k retirement plan, 401k match
  • Dental insurance, Medical insurance, Health insurance
  • Long-term disability, Life insurance
  • Employee assistance program, Commuter benefits, Employee discount, Employee stock purchase plan, Flexible spending account, Health savings account
  • Company holidays, Paid national holidays, Floating paid holidays
  • Catered lunches, Free daily lunch, Summer party, Team collaboration
  • Professional growth opportunities, Career growth opportunities, Mentorship, Sponsorship
  • Learning culture, Work‑life balance, Casual dress code
  • Relocation assistance, Company equipment provided
Work Schedule
  • Flexible schedule, Hybrid work model, Flexible hours
  • Freelance projects, Part‑time work, Project based work, Freelance opportunities, Part‑time hours
  • Onsite work
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