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Hourly Remote Data Annotation Jobs in Kentucky (NOW HIRING)

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Freelance · Hourly rate: US$20.30 · Language: English (US) · Location: Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis. Eligible candidates will be added ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Showing results 41-60

Hourly Remote Data Annotation information

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What are the most commonly searched types of Remote Data Annotation jobs in Kentucky?

The most popular types of Remote Data Annotation jobs in Kentucky are:

What are popular job titles related to Hourly Remote Data Annotation jobs in Kentucky?

For Hourly Remote Data Annotation jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Hourly Remote Data Annotation jobs?

Cities in Kentucky with the most Hourly Remote Data Annotation job openings:

Infographic showing various Hourly Remote Data Annotation job openings in Kentucky as of July 2026, with employment types broken down into 55% Full Time, 38% Part Time, and 7% Contract. Highlights an 100% Remote job distribution.

General Counsel - Remote

micro1 AI

Lexington, KY • Remote

$90 - $130/hr

Part-time

Re-posted 18 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.