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Entry Level Remote Ai Trainer Jobs in Ohio (NOW HIRING)

micro1 AI

Legal Counsel - AI Trainer

Cleveland, OH · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Toledo, OH · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

DataAnnotation

Software Engineer - AI Trainer

Dayton, OH · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Coder (this is an opportunity to work ...

DataAnnotation

Software Engineer - AI Trainer

Toledo, OH · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Coder (this is an opportunity to work ...

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Entry Level Remote Ai Trainer information

What is an entry level remote AI trainer?

An Entry Level Remote AI Trainer is a professional who helps improve artificial intelligence systems by providing feedback, labeling data, and evaluating AI outputs, often from a remote location. These roles typically require individuals to review content, assess the accuracy of AI-generated responses, or annotate data sets to help machine learning models learn and perform better. No advanced technical background is usually necessary, making it ideal for those starting their careers in AI or data-related fields. Training is often provided, and tasks can range from simple text analysis to more complex problem-solving depending on the employer.

What are the key skills and qualifications needed to thrive as an entry level remote AI trainer?

To thrive as an Entry Level Remote AI Trainer, you typically need strong written communication, critical thinking, and a basic understanding of technology, often supported by a bachelor's degree or equivalent experience. Familiarity with annotation platforms, collaboration tools, and sometimes foundational knowledge of AI concepts or data labeling systems is beneficial. Attention to detail, adaptability, and the ability to work independently are crucial soft skills for excelling in this role. These skills ensure high-quality data contributions, effective remote collaboration, and the reliable training of AI models.

What are some common challenges faced by entry level remote AI trainers, and how can they be addressed?

Entry Level Remote AI Trainers often encounter challenges such as understanding complex annotation guidelines, maintaining consistency in labeling, and managing communication across distributed teams. To address these issues, it's helpful to actively participate in training sessions, ask clarifying questions when guidelines are unclear, and leverage collaboration tools like Slack or project management platforms to stay connected with teammates and supervisors. Regular feedback sessions and quality checks also support continual improvement and help ensure high annotation accuracy.

What is the difference between Entry Level Remote Ai Trainer vs Data Annotator?

AspectEntry Level Remote Ai TrainerData Annotator
CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, collaborative with AI teamsRemote or on-site, focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Search & Comparison IntentOften compared for entry-level AI rolesRelated but more focused on data labeling tasks

While both roles are entry-level and often remote, Entry Level Remote Ai Trainers focus on training AI models by providing feedback and refining algorithms, whereas Data Annotators primarily label and prepare data for AI systems. Understanding these distinctions helps job seekers identify the right role based on their skills and career goals.

How much do entry-level AI trainers make?

Entry-level AI trainers typically earn between $30,000 and $50,000 annually, depending on the company, location, and required skills. These roles often involve tasks like data annotation, model testing, and using tools such as annotation platforms or machine learning frameworks.

How to get hired as an entry level remote AI trainer?

To get hired as an entry-level remote AI trainer, candidates should have strong communication skills, basic understanding of machine learning concepts, and experience with data annotation or labeling tools. Building a portfolio of relevant projects and applying through online job platforms can improve chances, while some roles may require familiarity with specific software or training datasets.

What are the most commonly searched types of Remote Ai Trainer jobs in Ohio?

The most popular types of Remote Ai Trainer jobs in Ohio are:

What are popular job titles related to Entry Level Remote Ai Trainer jobs in Ohio?

For Entry Level Remote Ai Trainer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Ai Trainer jobs in Ohio look for?

The top searched job categories for Entry Level Remote Ai Trainer jobs in Ohio are:

Entry Level Remote Ai Trainer jobs near you
Infographic showing various Entry Level Remote Ai Trainer job openings in Ohio as of August 2026, with employment types broken down into 76% Full Time, 18% Part Time, 1% Temporary, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Legal Counsel - AI Trainer

micro1 AI

Cleveland, OH • Remote

$90 - $130/hr

Part-time

Re-posted 19 days ago

Job description

Role Title: General Counsel


Role Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite legal professionals who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Create, review, and refine contract negotiation playbooks based on diverse real-world scenarios and company requirements.
  3. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of Counsel experience focused on technology transactions, particularly negotiating MSAs, NDAs, DPAs, APAs and SPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

Apply