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Remote Ai Data Rater Jobs in Baltimore, MD (NOW HIRING)

DataAnnotation

Software Engineer - AI Trainer

Baltimore, MD · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

YO AI Labs

Academic Expert - Remote

Maryland City, MD · Remote

$245 - $280/hr

Remote About the Role We are looking for PhD and academic experts to support AI research projects ... Data Analysis * Peer Review * Strong Written English Preferred Qualifications * PhD in a technical ...

New

System One

AI Governance Coordinator

Baltimore, MD · Remote

$43.94/hr

Remote - offsite - must work Eastern Time Zone business hours Responsibilities * Support the AI ... Review and validate risk ratings for active and pending AI use cases; adjust ratings as needed ...

System One

AI Governance Coordinator

Baltimore, MD · Remote

$43.94/hr

Remote - offsite - must work Eastern Time Zone business hours Responsibilities * Support the AI ... Review and validate risk ratings for active and pending AI use cases; adjust ratings as needed ...

System One

AI Governance Coordinator

Baltimore, MD · Remote

$43.94/hr

Remote - offsite - must work Eastern Time Zone business hours Responsibilities * Support the AI ... Review and validate risk ratings for active and pending AI use cases; adjust ratings as needed ...

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Remote Ai Data Rater information

See Baltimore, MD salary details

$10

$58

$82

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

As of Sep 14, 2026, the average hourly pay for remote ai data rater in Baltimore, MD is $58.34, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $67.84 per hour, depending on experience, location, and employer.

What is a remote AI data rater?

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 skills and qualifications are needed to be a remote AI data rater?

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 challenges do remote AI data raters face 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 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 popular job titles related to Remote Ai Data Rater jobs in Baltimore, MD?

For Remote Ai Data Rater jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Rater jobs in Baltimore, MD look for?

The top searched job categories for Remote Ai Data Rater jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Ai Data Rater jobs?

Cities near Baltimore, MD with the most Remote Ai Data Rater job openings:

Remote Ai Data Rater jobs near you

Generative AI Automation Engineer - Remote Job

Baltimore, MD • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 25 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