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Freelance Machine Learning Data Annotation Jobs in Clinton, MD

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

Refine data collection processes and improve data quality. * Design and develop scalable machine learning solutions for various applications. * Work with software developers to integrate machine ...

Samprasoft

Machine Learning Engineer

Mclean, VA · On-site

Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time to feed machine learning algorithms * Incorporate real-time data streams to produce ...

Steampunk

Machine Learning Engineer

Mclean, VA · On-site

$115K - $150K/yr

Implement and maintain data pipelines to support machine learning workflows. * Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques. * Document ...

Covar

Senior Machine Learning Engineer

Mclean, VA · On-site

$107.20K - $147.20K/yr

Senior Machine Learning Engineer McLean, Virginia Senior Machine Learning Engineer Location: McLean ... Experience with data curation/annotation workflows and dataset quality control. * Software ...

Steampunk

Machine Learning Engineer

Mclean, VA · On-site +1

$115K - $150K/yr

Implement and maintain data pipelines to support machine learning workflows. * Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques. * Document ...

GRVTY

Data Scientist 2

Annapolis Junction, MD

We have varying levels of Data Scientist roles, depending on years of experience and education ... This role combines artificial intelligence and machine learning skills with a strong foundation in ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Gormat is seeking a Data Scientist who is familiar with Agentic AI, RAG, and Machine Learning model training in addition to the customer's enterprise data processing pipeline. You will be working to ...

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Freelance Machine Learning Data Annotation information

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$12

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$34

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

As of May 28, 2026, the average hourly pay for freelance machine learning data annotation in Clinton, MD is $21.74, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.86 per hour, depending on experience, location, and employer.

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 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 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 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 cities near Clinton, MD are hiring for Freelance Machine Learning Data Annotation jobs? Cities near Clinton, MD with the most Freelance Machine Learning Data Annotation job openings:
Freelance Machine Learning Data Annotation jobs near you
Machine Learning Developer

Machine Learning Developer

SAIC

Arlington, VA • Hybrid

Other

Posted 20 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 204 rated it services

Job description

Job ID: 2611091
Location: Arlington, VA, US
Date Posted: 2026-05-05
Category: Software
Subcategory: SW Engineer
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_HYBRID
Description
SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team.
This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.
The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production.
Key Responsibilities:
  • Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.
  • Refine data collection processes and improve data quality.
  • Design and develop scalable machine learning solutions for various applications.
  • Work with software developers to integrate machine learning models into production systems.
  • Conduct research to identify new approaches and methods for machine learning and AI.
  • Stay updated with the latest trends and advancements in machine learning and AI.
  • Document processes, codes, and workflows for future reference and reproducibility.
  • Provide support and maintenance for deployed machine learning systems.

Qualifications
Required Education:
  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.

Qualifications:
  • Proven experience designing, developing, and deploying OpenAI solutions as a Machine Learning Developer or in a similar role.
  • Strong programming skills in Python, R, C#, Java or similar languages.
  • Experience with deep learning techniques and models.
  • Expertise in natural language processing (NLP) or computer vision.
  • Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
  • Experience with data preprocessing, data mining, and data visualization techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Familiarity with software development best practices and source control (e.g., Git).

Clearance:
  • Active Secret clearance is required for this position.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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