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Freelance Machine Learning Data Annotation Jobs (NOW HIRING)

NEURA Robotics

$80 - $100/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

Welocalize, Inc.

Data Quality Analyst

New York, NY · On-site

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

TEKsystems

Data Annotation Specialist

Austin, TX · Remote

$25 - $35/hr

Familiarity with AI and machine learning concepts. Additional language skills, which are beneficial for multilingual data annotation projects. Proven track record of handling confidential and ...

New

Welocalize, Inc.

Data Quality Analyst

New York, NY

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Welocalize, Inc.

Data Quality Analyst

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Innodata Inc.

$55 - $60/hr

Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required ... CVAT annotation platform - AI feature configuration and operation * DoD or IC data program ...

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

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How much do freelance machine learning data annotation jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for freelance machine learning data annotation in the United States is $21.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $25.00 per hour, depending on experience, location, and employer.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

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

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.
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Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $45,483 per year, or $21.9 per hour.

AI Data Annotation Specialist (human)

NEURA Robotics

On-site

$80 - $100/hr

Other

Posted 20 days ago

Job description

Your mission & challenges

As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and maintain scalable workflows for automated data annotation, while ensuring that datasets are properly validated, standardized, and formatted for efficient model training.

You play a critical role in enabling high-quality AI systems by transforming raw data into structured, reliable training datasets.

  • Design, build, and maintain pipelines for automated and semi-automated data annotation
  • Ingest and integrate data from multimodal sources into structured data workflows
  • Apply pre-labeling techniques using existing models to accelerate annotation processes
  • Validate and ensure the quality, consistency, and completeness of annotated datasets
  • Identify and resolve data quality issues, inconsistencies, and biases
  • Transform and standardize datasets into model-ready formats
  • Collaborate closely with ML Engineers to optimize datasets for training and evaluation
What we can look forward to
  • Degree in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in machine learning operations, AI, or software engineering
  • Strong programming skills in Python and C++
  • Solid understanding of AI / machine learning fundamentals and data requirements
  • Experience with data annotation tools or labeling workflows
  • Familiarity with dataset structuring and formatting for ML frameworks (e.g., robotics datasets, multimodal data)
  • Strong attention to detail and a quality-driven mindset
  • Experience with cloud platforms (AWS, GCP, Azure) is a plus
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