ZipRecruiter

Log In

1

Freelance Machine Learning Data Annotation Jobs in Clinton, MD

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Monitor AI machine learning biotechnology and national security policy trends Skills * A/B | A/B ... Flexible schedule | Freelance opportunities | Part-time hours | Project based work * Part-time ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... annotation of language data with parts of speech information, and improve existing models by ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... annotation of language data with parts of speech information, and improve existing models by ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Data Annotation JobsFreelance Machine Learning Data Annotation JobsFreelance Machine Learning Data Annotation Jobs in Clinton, MD

Freelance Machine Learning Data Annotation information

See Clinton, MD salary details

$12

$21

$34

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

As of Aug 16, 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 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?

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.

What job categories do people searching Freelance Machine Learning Data Annotation jobs in Clinton, MD look for?

The top searched job categories for Freelance Machine Learning Data Annotation jobs in Clinton, MD are:

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

Senior Software Engineer - Machine Learning / Data Science

Staffed4U

Laurel, MD

$220K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Software Engineer - Level 3 (Machine Learning / Data Science)Location: Laurel, MD (Onsite)
Clearance: Active TS/SCI with Poly required
Citizenship: U.S. Citizenship required
Salary Range: $220,000-240,000Position Overview

We are seeking a highly experienced Software Engineer 3 (SWE-3) to support mission-critical government programs in Laurel, MD. The ideal candidate will possess extensive experience in software engineering, machine learning, and data analytics within secure government environments. This role requires hands-on development expertise, advanced analytical skills, and the ability to support agency compliance and operational standards.

Minimum Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field plus 20 years of relevant experience
  • Active TS/SCI clearance with Polygraph
  • Ability to work on-site in Laurel, MD five days per week
Required Skills & Experience
  • Experience with Java, Scala, and Python
  • Experience with Lucene, JEXL, SQL, and JSON
  • Experience developing in Linux operating environments
  • Experience with Map/Reduce
  • Experience with GM Learn
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/GitLab and/or Stash/Bitbucket
  • Experience with Jira and Confluence
  • Experience with Scikit-learn
  • Experience building and monitoring Machine Learning models
  • Experience with Random Forest algorithms and feature development
  • Understanding of Agency compliance standards, policies, and authorities
  • Experience working with Agency corporate systems
  • Experience creating, reviewing, and maintaining technical documentation
Desired Skills & Experience
  • Data Science background and analytical expertise
  • Experience with AWS cloud technologies
  • Experience implementing Machine Learning systems in production environments
  • Experience with Apache Spark
  • Experience performing Exploratory Data Analysis (EDA)
  • Experience with Agentic AI technologies
  • Experience working with Large Language Models (LLMs)
  • Experience with Machine Learning feature engineering and development
  • Familiarity with additional Machine Learning models and advanced analytical techniques
Preferred Attributes
  • Strong problem-solving and analytical capabilities
  • Ability to work independently and collaboratively within mission-focused teams
  • Excellent written and verbal communication skills
  • Experience supporting high-security government environments
Compensation & Benefits
  • Competitive salary based on experience and qualifications
  • Comprehensive benefits package
  • Opportunity to support impactful national security missions
  • 100% employer-paid Medical, Dental, and Vision coverage for employees and their families (CareFirst)
  • 401(k) with employer match
  • Generous Paid Time Off and paid holidays
  • Annual bonus opportunities
  • Employer-paid short-term and long-term disability insurance
  • Employer-paid life insurance (150% of salary, up to $200K)
  • Monthly stipend for cell phone and internet
  • Additional employee perks and recognition programs
 
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.