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Freelance Machine Learning Data Annotation Jobs in Alabama

Data Science Tutor

Montgomery, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Huntsville, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Birmingham, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Develop and deploy machine learning and statistical models. * Perform exploratory data analysis and identify meaningful patterns and trends. * Build predictive and classification models using ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

This role requires strong expertise in statistics, machine learning, and programming , with the ability to transform raw data into actionable insights. The ideal candidate has hands-on experience ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

Showing results 41-60

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 popular job titles related to Freelance Machine Learning Data Annotation jobs in Alabama?

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

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

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

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

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

Applied AI Engineer

Ingenix Technologies LLC

Huntsville, AL • On-site

$110 - $140/hr

Other

Posted 2 days ago

New


Job description

Huntsville, AL (Hybrid) Full-Time Ability to obtain a Secret clearance required

Build practical AI capabilities for defense simulation, training, analysis, and decision-support applications. You'll apply machine learning, LLMs, retrieval, optimization, and automation techniques to real engineering problems rather than research demos alone.

What you'll do
  • Develop AI-enabled software features using Python and modern machine learning or LLM frameworks
  • Build prototypes and production-oriented tools for simulation, training, analysis, or workflow automation
  • Design data pipelines, evaluation methods, and experiments to measure model performance and usefulness
  • Apply techniques such as retrieval-augmented generation, NLP, computer vision, planning, or optimization where appropriate
  • Integrate AI capabilities with existing software systems, databases, APIs, and user interfaces
  • Document assumptions, limitations, model behavior, and technical tradeoffs for engineering and customer audiences
What we're looking for
  • Experience building applied AI, machine learning, data science, or automation software in Python
  • Familiarity with modern AI/ML workflows, model evaluation, data preparation, and software integration
  • Ability to turn ambiguous operational or technical problems into testable AI-enabled prototypes
  • Strong software engineering fundamentals and ability to communicate technical tradeoffs clearly
  • US Citizenship and ability to obtain a Secret clearance
Nice to have
  • Experience with LLMs, RAG, NLP, computer vision, autonomy, planning, optimization, or simulation evaluation
  • Familiarity with PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, vector databases, or related tools
  • Experience with defense, aerospace, training systems, digital engineering, or cyber applications
  • Experience deploying AI tools into secure, offline, edge, or government environments
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