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Overnight Ai Data Rater Jobs in Virginia (NOW HIRING)

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

Steampunk

AI Evaluation Scientist

Mclean, VA

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

Steampunk

AI Evaluation Scientist

Mclean, VA

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... rate, and safety metrics. * Build and maintain automated evaluation scripts, tests, and pipelines ...

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Overnight Ai Data Rater information

What are Overnight AI Data Raters?

Overnight AI Data Raters are individuals who work outside of regular business hours to evaluate and label data used to train artificial intelligence systems. Their main responsibilities include reviewing text, images, audio, or video content and providing accurate assessments or categorizations according to specific guidelines. This work is crucial in ensuring AI models can learn from high-quality and unbiased data. Typically, these roles are remote and may require attention to detail, consistency, and adherence to data privacy standards.

What is the difference between Overnight Ai Data Rater vs Data Annotator?

AspectOvernight Ai Data RaterData Annotator
CredentialsBasic computer skills, sometimes high school diplomaBasic computer skills, sometimes high school diploma
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or regular hours
Industry UsageAI training data, machine learning modelsData labeling, training datasets for AI
Job FocusReviewing and rating data for AI modelsLabeling and annotating data for AI training

Both Overnight Ai Data Raters and Data Annotators work in AI data preparation, often remotely, with similar entry-level requirements. The key difference is that Overnight Ai Data Raters primarily review and rate data, often during overnight shifts, while Data Annotators focus on labeling and annotating data to create training datasets. Understanding these distinctions helps job seekers find roles aligned with their skills and preferred work hours.

What are the key skills and qualifications needed to thrive as an Overnight AI Data Rater, and why are they important?

To thrive as an Overnight AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in following complex guidelines, usually supported by at least a high school diploma or equivalent. Familiarity with data labeling tools, web browsers, and sometimes proprietary platforms is important, as well as the ability to quickly adapt to evolving AI systems. Excellent time management, self-motivation, and clear written communication help individuals excel in this often-remote, independent role. These skills ensure accurate data evaluation, which is crucial for improving AI systems and maintaining quality standards during off-peak hours.

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

Overnight AI Data Raters often encounter challenges such as maintaining focus during late-night shifts and accurately evaluating large volumes of data within tight deadlines. Managing these challenges involves establishing a consistent sleep schedule, taking regular breaks to avoid fatigue, and using productivity tools to track progress. Collaborating with team members via chat platforms can also help resolve uncertainties in data interpretation, ensuring high-quality work even during less supervised hours.
What are the most commonly searched types of Ai Data Rater jobs in Virginia? The most popular types of Ai Data Rater jobs in Virginia are:
What cities in Virginia are hiring for Overnight Ai Data Rater jobs? Cities in Virginia with the most Overnight Ai Data Rater job openings:
Overnight Ai Data Rater jobs near you

AI Data Engineer

QUANTUM TECHNOLOGIES LLC

Fort Belvoir, VA • On-site

$75/hr

Other

Posted 11 days ago

Job description

Job Title: AI Data Engineer

Location: Fort Belvoir, VA

Duration: 6 Months + Extension

Bill Rate: $75/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Summary:

Description
The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.

Qualifications
Required Education:

  • Bachelors degree and nine (9) years or more related experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

  • Experience with Apache Spark or other distributed computing platforms.
  • Palantir Foundry Certification.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
  • Proficiency in real-time data processing and analytics platforms.
  • Knowledge of Army Intelligence Enterprise data workflows and requirements.
  • Strong understanding of MLOps practices and supporting tools.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

    Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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