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Freelance Machine Learning Data Annotation Jobs in Maryland

Independent Software

$110 - $150/hr

Depending on the program, you may work with machine learning, artificial intelligence, predictive analytics, data visualization, workflow automation, or other advanced analytical techniques. This ...

EOA Technologies LLC

Job Type Full-time Description EOA Technologies is seeking a Data Scientist to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets.

GRVTY

Data Scientist 2

Annapolis Junction, MD

$115K - $145K/yr

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 ...

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Freelance Machine Learning Data Annotation information

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.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Maryland?

The most popular types of Machine Learning Data Annotation jobs in Maryland are:

What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Maryland?

For Freelance Machine Learning Data Annotation jobs in Maryland, the most frequently searched job titles are:

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

The top searched job categories for Freelance Machine Learning Data Annotation jobs in Maryland are:

What cities in Maryland are hiring for Freelance Machine Learning Data Annotation jobs?

Cities in Maryland with the most Freelance Machine Learning Data Annotation job openings:

Freelance Machine Learning Data Annotation jobs near you

Data Scientist, Level 2

Independent Software

On-site

$110 - $150/hr

Other

Posted 28 days ago

Job description

What You Will Do

At Independent Software, as a Data Scientist Level 2, you will analyze complex datasets and develop data-driven solutions supporting mission-critical Intelligence Community and DoD programs. Depending on the program, you may work with machine learning, artificial intelligence, predictive analytics, data visualization, workflow automation, or other advanced analytical techniques.

This position is ideal for candidates who enjoy solving complex problems, building analytical solutions, and working with large datasets in secure environments.

Key Responsibilities
  • Analyze structured and unstructured datasets to identify trends, patterns, and actionable insights.
  • Develop analytical solutions using Python and modern data science tools.
  • Build and automate data processing workflows.
  • Create visualizations, reports, and dashboards to communicate findings.
  • Develop statistical, predictive, or machine learning models.
  • Collaborate with engineers, analysts, and customer stakeholders to solve mission problems.
  • Document methodologies and communicate technical findings to both technical and non-technical audiences.
Required Skills and Qualifications
  • Strong proficiency with Python and experience developing scripts, automating workflows, or building analytical solutions.
  • Experience analyzing large structured and unstructured datasets using statistical, mathematical, or computational methods.
  • Experience with one or more of the following: machine learning, artificial intelligence, predictive analytics, data mining, data engineering, or data visualization.
  • Experience cleaning, transforming, and preparing data for analysis.
  • Ability to communicate technical findings clearly to both technical and non-technical audiences.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Ability to work independently while collaborating effectively within a team environment.
  • Experience using analytical tools and technologies such as SQL, Jupyter Notebook, Pandas, NumPy, Spark, PySpark, Hadoop, cloud-based analytics platforms, or similar technologies is desired.
Education and Experience
  • Bachelor's degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related technical discipline.
  • Degrees in Engineering, Computer Information Systems, the physical sciences, or other scientific disciplines with a strong computational, mathematics, or computer science background may also be considered.
  • Candidates with other degree disciplines may qualify if they have earned a Data Science certificate from an accredited college or university.
  • Bachelor's degree with three (3) years of relevant experience, or Associate's degree with five (5) years of relevant experience.
  • Relevant experience includes one or more of the following: machine learning, data science, advanced analytics, statistical analysis, programming (such as Python), data management, data mining, data modeling, artificial intelligence, or software engineering. Experience across multiple areas is preferred.
Clearance Requirement
  • Must possess an active TS SCI with appropriate Polygraph to be considered for this role
Why Choose Independent Software

At Independent Software, our people are the mission. We’ve built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive.

When you join us, you will:

  • Support critical national security missions that matter
  • Be part of a close-knit, employee-first culture where your voice is heard
  • Expand your skills through ongoing training, mentorship, and career development
  • Enjoy competitive compensation, generous benefits, and work-life balance

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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