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Freelance Machine Learning Data Annotation Jobs (NOW HIRING)

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

... experience in Machine Learning , Data Science , Software Engineering , Computer Science ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

Apple

Machine Learning Data Engineer

Cupertino, CA · On-site

$181K - $318K/yr

Machine Learning Data Engineer Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store ...

Apple

Machine Learning Data Engineer

Cupertino, CA

$181K - $318K/yr

Description We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

... data annotation strategies and ensure high model performance and generalization. Qualifications : Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a ...

Trimble

Machine Learning Data Scientist

Lake Oswego, OR

$122K - $165K/yr

Essential Skills & Experience * 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models. * Proficiency in Python and SQL for data ...

Sunday

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

They are seeking a Technical Program Manager, Data Engine to oversee data annotation and collection processes, ensuring high-quality data delivery for machine learning experiments. Responsibilities ...

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Freelance Machine Learning Data Annotation information

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$35

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

As of Jun 18, 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 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.

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Data Annotation specialist, and why are they important?

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 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 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.
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Freelance Machine Learning Data Annotation jobs near you
Machine Learning Data Engineer

Machine Learning Data Engineer

HonorVet Technologies

Dallas, TX • Hybrid

$113K - $136K/yr

Other

Posted 2 days ago

Job description

Position: Machine Learning Data Engineer
Location: Hybrid 2 days/week in Dallas, TX or Boston, MA
Duration: 3+ month contract; Strong potential for extension
Only W2
Overview:
Our client in the commercial banking domain is hiring two Machine Learning Data Engineers to support a high-impact initiative within the Data Quality Team. One role will focus on solution architecture, requiring experience implementing a full machine learning framework. The second will be more of an Engineer/Business Analyst hybrid, supporting the lead architect and contributing to model development and automation efforts.
These roles are part of a strategic effort to automate the review of over 25,000 data quality rules currently being manually aggregated and analyzed. The goal is to build and implement a prototype ML model by year-end, so candidates must be available for a fast-paced delivery timeline (no extended time off planned in December).
Project Scope:
  • Automate the rule review process currently handled manually using Informatica IDQ, with a transition toward Snowflake.
  • Develop and deploy a Machine Learning model to analyze rule pass/fail outcomes.
  • Improve efficiency by reducing manual resource dependency through intelligent automation.

Responsibilities:
  • Follow the company's software development lifecycle to design, code, configure, test, debug, and document system and application programs.
  • Prepare technical design specifications based on functional requirements and analysis documents.
  • Participate in architecture, design, and code reviews.
  • Collaborate with development staff to ensure quality and consistency.
  • Develop and maintain operational and system-level documentation.
  • Build and implement a prototype ML model with a quick turnaround.
  • Support scalable API integrations between internal and external systems (nice to have).

Core Requirements:
  • Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
  • Proficient in Python and/or R for data analysis and model development.
  • Experience with ML/AI programming and modern machine learning standards.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and services like Lambda, S3, Azure Functions, BigQuery.
  • Familiarity with automation frameworks (e.g., Power Automate, Python scripting).
  • Understanding of data quality, management, and governance concepts.
  • Experience with Web Application Server enhancements and infrastructure standards.

Preferred Qualifications (Nice-to-Haves):
  • Experience with Informatica IDQ.
  • Familiarity with Snowflake ML libraries or programming extensions.
  • Background in designing and implementing scalable API integrations.

Soft Skills:
  • Highly motivated, proactive, and collaborative team player.
  • Able to work independently and meet tight deadlines.
  • Strong communication and problem-solving skills.
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About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015

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