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Entry Level Machine Learning Data Annotation Jobs

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 ...

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 ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

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 Labeling Associate

San Diego, CA

$17 - $22/hr

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

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 ...

Welocalize, Inc.

Data Labeling Associate

$16.50 - $21.25/hr

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 Labeling Associate

San Diego, CA · On-site

$17 - $22/hr

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 ...

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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Entry Level Machine Learning Data Annotation information

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

As of Sep 14, 2026, the average hourly pay for entry level machine learning data annotation in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Machine Learning Data Annotation vs Entry Level Data Labeling Specialist?

AspectEntry Level Machine Learning Data AnnotationEntry Level Data Labeling Specialist
CredentialsBasic understanding of data annotation tools, no formal certification requiredSimilar; often no formal certification needed
Work EnvironmentRemote or on-site, working with AI teams and datasetsRemote or on-site, focusing on labeling data for AI/ML projects
Industry UsagePrimarily in AI, machine learning, and data science companiesUsed across tech, automotive, healthcare, and other industries
Search & Comparison IntentCommonly compared for entry-level roles in AI data prepOften compared as a similar entry-level data labeling role

Both roles involve preparing data for machine learning models, with similar entry-level requirements. The main difference lies in terminology and specific job focus, but they often overlap in skills and work environment.

More about Entry Level Machine Learning Data Annotation jobs

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Entry Level Machine Learning Data Annotation jobs near you
Infographic showing various Entry Level Machine Learning Data Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

ML Systems Engineer, Data Labeling Engineering - Early Career

Sunnyvale, CA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$136K - $163K/yr

Other

Posted 2 days ago

New

Job description

  • Develop automation and tooling for labeling workflows and data quality, including efficiency dashboards, automated quality assurance, and autolabel review tools
  • Collaborate with ML engineers to design and integrate ML-driven data annotation, including pre-labeling, autolabeling, and active learning loops
  • Help evolve labeling workflows from human-only processes toward machine-led labeling at scale
  • Design, implement, and test scalable, high-performance user experiences and services using modern full-stack and/or frontend technologies
  • Ship features across multiple product surfaces to improve the speed and accuracy of data labeling for new models and cities
  • Apply production engineering practices including code review, automated testing, observability, CI/CD, and incremental delivery
  • Use AI-assisted development workflows such as code assistants, automated documentation, test generation, and operational triage while maintaining code and product quality
  • Partner with labelers, ML engineers, Product Operations, Product Management, Data Science, and other cross-functional teams to improve the platform
Requirements
  • Recently completed a bachelor’s, master’s, or PhD degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, or a related STEM field; completed degree must have been awarded within the past 9 months
  • Experience building software through coursework, internships, research, personal projects, or prior professional experience
  • Programming experience in one or more of Python, TypeScript, JavaScript, Go, Java, or C++
  • Familiarity with object-oriented design, design patterns, data structures, algorithms, API/interface design, and engineering best practices
  • Exposure to building applications, services, data pipelines, or user-facing tools in a collaborative environment
  • Ability to learn new technologies, reason about technical tradeoffs, and communicate clearly with engineering and cross-functional partners
  • Interest in autonomous vehicles, robotics, machine learning, data-centric AI, or developer and ML platform technologies
  • Preferred: graduation between December 2025 and August 2026, with availability to begin employment in 2026
  • Preferred experience with Python, TypeScript, Go, React, SQL, Redux, gRPC, GraphQL, WebGL, or similar tools
  • Preferred familiarity with scalable software system design, data modeling, API/interface design, observability, CI/CD, or test-driven development
  • Preferred experience with computer vision, machine learning, data-centric AI, data annotation, data quality, or autolabeling workflows
  • Preferred familiarity with data labeling or annotation platforms, annotation user interfaces, workflow engines, or quality systems
  • Preferred experience with A/B testing, telemetry, observability systems, data-intensive applications, visualization-heavy applications, AI-assisted engineering workflows, and cross-functional collaboration
Core Competencies

Demonstrates expertise in developing automation and tooling for data labeling workflows, with strong programming skills in Python, TypeScript, and JavaScript. Proficient in applying production engineering practices and collaborating with cross-functional teams to enhance data quality and user experiences.

Highest-signal resume keywords
  • Python Programming
  • TypeScript Programming
  • Data Annotation Workflows
  • CI/CD Practices
  • Machine Learning Integration
Hard Skills
  • JavaScript Programming
  • Go Programming
  • Java Programming
  • C++ Programming
  • Object-Oriented Design
  • Data Structures
  • Algorithms
  • API Design
  • Test-Driven Development
  • Data Modeling
Soft Skills
  • Clear Communication
  • Collaborative Problem Solving
  • Technical Tradeoff Reasoning
  • Adaptability to New Technologies
Industry Keywords
  • Data-Centric AI
  • Autonomous Vehicles
  • Robotics
  • Data Quality
  • Machine Learning
  • Data Annotation
  • Quality Systems
  • Workflow Engines
  • Cross-Functional Collaboration
  • AI-Assisted Engineering
Tools & Technologies
  • React
  • SQL
  • Redux
  • GRPC
  • GraphQL
  • WebGL
  • Observability Systems
  • Telemetry
  • A/B Testing
  • Visualization Tools
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