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Ai Data Collection Jobs in Kentucky (NOW HIRING)

Galls

Data Scientist

Lexington, KY

Build AI agents and autonomous workflows capable of supporting a 24/7 ecommerce operation ... Develop scripts and processes for data scraping, collection, cleansing, normalization, and ...

Toloka

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work ... Advise customers on best practices in data collection, data quality, evaluation, and model training ...

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Ai Data Collection information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and leadership responsibilities.

What does a typical day look like for someone working in AI Data Collection?

A typical day often involves reviewing and labeling large sets of data—such as text, images, or audio—using specialized annotation tools or platforms. You might also collaborate with data engineers, project managers, or AI researchers to clarify data requirements and resolve ambiguities. The role usually requires a balance of independent, detail-oriented work and regular team check-ins to ensure consistency and quality across datasets. Adhering to project deadlines and quality guidelines is essential, and there may be opportunities to automate repetitive tasks or improve data protocols over time.

Which AI job is high paying?

In AI data collection, roles that involve managing large datasets, developing data pipelines, or working with advanced tools like machine learning frameworks tend to be higher paying. Positions requiring specialized skills, certifications, or experience in data annotation, labeling, or quality assurance often command higher salaries due to their technical complexity and importance in AI development.

What is an AI Data Collection job?

An AI Data Collection job involves gathering, labeling, and curating datasets used to train and improve artificial intelligence models. This can include collecting text, images, audio, or video data from various sources while ensuring its accuracy and relevance. Professionals in this role may also clean and organize data to make it usable for machine learning algorithms. Ethical considerations, such as privacy and bias, are important aspects of the job. Strong attention to detail and familiarity with data management tools are often required.

Which 3 jobs will survive AI?

AI Data Collection specialists are likely to continue to be in demand as they gather and annotate data essential for training AI models. Jobs that require complex human judgment, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled tradespeople, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to replicate fully.

What is an AI data collection job?

An AI data collection job involves gathering and labeling data such as images, text, or audio to train machine learning models. Workers often use online platforms, require attention to detail, and may need basic knowledge of data annotation tools or guidelines.

What are the key skills and qualifications needed to thrive in the Ai Data Collection position, and why are they important?

To thrive in AI Data Collection, you need strong analytical skills, attention to detail, and knowledge of data management principles, often supported by a background in computer science or a related field. Familiarity with data annotation tools, spreadsheets, programming languages like Python, and experience using data labeling or crowdsourcing platforms is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These skills enable accurate, efficient data collection and ensure datasets meet the quality standards necessary for training and validating AI models.

What are the most commonly searched types of Ai Data Collection jobs in Kentucky? The most popular types of Ai Data Collection jobs in Kentucky are:
What are popular job titles related to Ai Data Collection jobs in Kentucky? For Ai Data Collection jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Ai Data Collection jobs in Kentucky look for? The top searched job categories for Ai Data Collection jobs in Kentucky are:
Ai Data Collection jobs near you
Infographic showing various Ai Data Collection job openings in Kentucky as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Data Collection Specialist - Video (Remote)

micro1 AI

Bowling Green, KY • Remote

$13/hr

Part-time

Posted 7 days ago

Job description

Role Title: At-Home Video Recorder


Location: Remote - based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture household tasks using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure:

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability:

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


  1. Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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