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From Home Ai Data Labeling Jobs in Virginia (NOW HIRING)

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

Work closely with ML Engineers and Software Developers to transition models from a research and ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

General Motors

Senior AI/ML Engineer

Richmond, VA · On-site +1

$103.40K - $142K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

Framatome North America

AI Data Analyst

Lynchburg, VA · On-site

$85K - $116K/yr

Why This Role Is Critical The AI Data Analyst role is critical to Framatome's ability to transform ... Clean, normalize, tag, enrich, and organize historical datasets from multiple enterprise sources

Framatome North America

AI Data Analyst

Lynchburg, VA · On-site

$85K - $116K/yr

The AI Data Analyst role is critical to Framatome's ability to transform data into actionable ... Clean, normalize, tag, enrich, and organize historical datasets from multiple enterprise sources

Framatome North America

AI Data Analyst

Lynchburg, VA · On-site

$85K - $116K/yr

Why This Role Is Critical The AI Data Analyst role is critical to Framatome's ability to transform ... Clean, normalize, tag, enrich, and organize historical datasets from multiple enterprise sources

Judge Group, Inc.

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Experience with ETL, Data Labeling and Data Prep. Experience designing, implementing, and ... Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared ...

Deloitte

AI Data Engineer - Manager

Mclean, VA

$115.70K - $139K/yr

Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems. Design and Technology Selection * Select appropriate technologies from a ...

Deloitte

AI Data Engineer - Manager

Richmond, VA

$113.30K - $136.10K/yr

Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems. Design and Technology Selection * Select appropriate technologies from a ...

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All JobsFrom Home Ai Data Labeling JobsFrom Home Ai Data Labeling Jobs in Virginia

From Home Ai Data Labeling information

What are the key skills and qualifications needed to thrive as a From Home AI Data Labeling specialist, and why are they important?

To thrive as a From Home AI Data Labeling specialist, you need keen attention to detail, basic computer literacy, and the ability to follow complex instructions, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming or data handling systems is beneficial. Strong time management, self-motivation, and effective written communication help individuals excel when working independently. These skills ensure the accuracy and consistency of labeled data, which is critical for training reliable AI models.

What are some common challenges faced by remote AI Data Labelers, and how can they be managed?

Remote AI Data Labelers often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and ensuring consistent data quality across assignments. To address these, it's important to establish a structured daily routine, take regular breaks to avoid fatigue, and use quality guidelines provided by employers. Staying connected with team members through chat platforms can also help clarify doubts quickly and maintain a sense of teamwork, even when working from home.

What is from home AI data labeling?

From home AI data labeling is a remote job where individuals tag, categorize, or annotate data—such as images, text, or audio—to help train artificial intelligence systems. These tasks are essential for improving machine learning algorithms, as accurate labeled data allows AI models to learn and make better predictions. Data labelers can work on a variety of projects, including identifying objects in photos, transcribing audio, or organizing text according to guidelines. Most positions are freelance or contract-based, offering flexible work hours and the ability to work from anywhere with a computer and internet connection.

What is the difference between From Home Ai Data Labeling vs From Home Data Annotation?

AspectFrom Home Ai Data LabelingFrom Home Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI and machine learning companiesAI, machine learning, and data companies
Job FocusLabeling data for AI trainingAnnotating data for AI and ML models

From Home Ai Data Labeling and From Home Data Annotation are similar roles involving remote work and data preparation for AI. Data labeling typically emphasizes categorizing data, while data annotation may include more detailed marking. Both require basic skills and are used in AI industries, but labeling is often more specific to training datasets for machine learning models.

What are the most commonly searched types of Ai Data Labeling jobs in Virginia? The most popular types of Ai Data Labeling jobs in Virginia are:
What are popular job titles related to From Home Ai Data Labeling jobs in Virginia? For From Home Ai Data Labeling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching From Home Ai Data Labeling jobs in Virginia look for? The top searched job categories for From Home Ai Data Labeling jobs in Virginia are:
What cities in Virginia are hiring for From Home Ai Data Labeling jobs? Cities in Virginia with the most From Home Ai Data Labeling job openings:
From Home Ai Data Labeling jobs near you

Data Scientist (Generative AI)

Steampunk

Mclean, VA • On-site, Remote

$125K - $160K/yr

Other

Posted 4 days ago

Job description

Overview
We are looking for seasoned Data Scientist to work with our existing team of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
  • Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models.
  • Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production.
  • Stay updated with the latest research and trends in AI to implement cutting-edge solutions.
  • Evaluate the performance of foundational models (e.g., GPT, LLaMA, Claude) on domain-specific tasks and fine-tune them using supervised, reinforcement, or instruction tuning methods to align outputs with user needs and business goals.
  • Design and optimize prompts, few-shot examples, and system instructions to improve LLM behavior in constrained environments (e.g., RAG pipelines, multi-agent workflows, decision support systems).
  • Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG).
  • Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and human evaluations.
  • Ability to leverage and integrate various data management tools at scale - cloud experience preferred
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
Qualifications
  • Ability to hold a position of public trust with the US government.
  • Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline
  • 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems.
  • Must have hands-on experience in building and deploying generative models, with a portfolio of relevant projects
  • Must be proficient in Python, with strong coding practices for scalability and reproducibility.
  • Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures.
  • Demonstrated experience manipulating structured and unstructured data for analysis
  • Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX.
  • Ability to implement and modify complex neural network architectures.
  • Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
  • Experience with model training, fine-tuning, and evaluation using frameworks like PyTorch or TensorFlow.
  • Deep knowledge of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and prompt engineering.
  • Hands-on experience with large language models (e.g., GPT, LLaMA, Claude, Mistral) and associated libraries (e.g., Hugging Face Transformers).
  • Familiar with retrieval-augmented generation (RAG), data labeling, synthetic data generation, and data governance best practices.
  • Proficiency in Python and ML tooling (e.g., Jupyter, Git, Docker, APIs). Able to work in cross-functional teams to deliver AI capabilities into production environments, and write modular/reusable code.
  • Experience in Cloud analytics (AWS, Azure, or Google Cloud Platform - GCP) with tools such as AWS SageMaker, AWS Bedrock, Azure OpenAI, etc.
  • Experience with DevSecOps, as it applies to data science and MLOps
  • Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar are a plus
  • Experience with Elasticsearch, AWS Kendra, Azure Cognitive Search, or similar tool is a plus
  • Must be willing and able to obtain a government security clearance

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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