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Remote Ai Data Rater Jobs in Park, VA (NOW HIRING)

Varsity Tutors

Data Science Tutor

Charlottesville, VA · Remote

$18 - $40/hr

... schedule, earn competitive rates, and make a real impact on students' academic success and ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Data Analysis Tutor

Charlottesville, VA · Remote

$18 - $40/hr

... schedule, earn competitive rates, and make a real impact on students' academic success and ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

EnthuZiastic

Growth Hacker - Remote

Harrisonburg, VA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Varsity Tutors

ChatGPT Tutor

Charlottesville, VA · Remote

$18 - $40/hr

... schedule, earn competitive rates, and make a real impact on students' academic success and ... AI interaction, content generation, code assistance, data analysis, creative writing applications ...

Investure

Software Engineer

Charlottesville, VA · On-site +1

$115K - $125K/yr

... AI-driven enhancements to drive the firm's mission forward. The professional will collaborate ... data. This position is based in-office with a remote option on Fridays. Investure will not sponsor ...

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Remote Ai Data Rater information

See Park, VA salary details

$10

$58

$82

How much do remote ai data rater jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for remote ai data rater in Park, VA is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $67.69 per hour, depending on experience, location, and employer.

What is the difference between Remote Ai Data Rater vs Remote Content Moderator?

AspectRemote Ai Data RaterRemote Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, flexible hours, task-basedOnline, flexible hours, task-based
Employer & IndustryTech companies, AI developmentSocial media, online platforms
Search & Comparison IntentData labeling, AI trainingContent review, policy enforcement

Remote Ai Data Raters focus on labeling and annotating data to train AI models, while Remote Content Moderators review user-generated content to enforce platform policies. Both roles require attention to detail and are performed online with flexible hours, but they serve different purposes within the tech industry.

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

To thrive as a Remote AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web-based evaluation platforms and tools, as well as adherence to specific project guidelines, is typically required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These abilities ensure accurate data labeling and evaluation, which are crucial for improving AI system performance.

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

Remote AI Data Raters often encounter challenges such as maintaining consistent focus during repetitive tasks and accurately interpreting guidelines that may change depending on project requirements. Effective strategies to overcome these challenges include setting up a distraction-free workspace, taking regular short breaks to reduce fatigue, and actively participating in training sessions or forums provided by employers. Additionally, clear communication with team leads or project managers can help clarify ambiguous instructions and ensure alignment with quality standards.

What are Remote AI Data Raters?

Remote AI Data Raters are professionals who evaluate and annotate data such as text, images, or audio to help improve artificial intelligence systems. They work from home or any remote location, following specific guidelines to assess the relevance, accuracy, and quality of data used to train AI algorithms. Their feedback is crucial for machine learning models to better understand and process human language, visual content, or other data types. This role often requires attention to detail, strong communication skills, and the ability to follow detailed instructions.
What job categories do people searching Remote Ai Data Rater jobs in Park, VA look for? The top searched job categories for Remote Ai Data Rater jobs in Park, VA are:
What cities near Park, VA are hiring for Remote Ai Data Rater jobs? Cities near Park, VA with the most Remote Ai Data Rater job openings:
Remote Ai Data Rater jobs near you
Infographic showing various Remote Ai Data Rater job openings in Park, VA as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $121,075 per year, or $58.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Harrisonburg, VA • Remote

Full-time

Re-posted 12 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply