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Weekend Ai Data Annotation Jobs in Kentucky (NOW HIRING)

TSMG

AI/ML Data Contributor

Louisville, KY

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Louisville, KY

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Introl

Data Center Technician

Hebron, KY · On-site

$30 - $36/hr

... AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers ... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without ...

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All JobsAi Data Annotation JobsWeekend Ai Data Annotation JobsWeekend Ai Data Annotation Jobs in Kentucky

Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

How much do you get paid for AI data annotation?

The pay for AI data annotation jobs varies depending on the employer, project complexity, and experience level, but typically ranges from $10 to $20 per hour or $0.02 to $0.10 per task. Many roles are paid on a per-task basis, and some may offer bonuses for accuracy or speed. Compensation can also depend on whether the work is freelance or employed by a company.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
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Weekend Ai Data Annotation jobs near you

Data Annotation reviewer (QA) (GenAI/LLM)

Pro Integrate

Louisville, KY • On-site

Other

Posted 24 days ago

Job description

Data Annotation reviewer (QA) (GenAI/LLM) role - Onsite -

Location: Louisville, KY

Duration: 2+ months with possibility if extensions

Role Description

As QA at Centific specializing in Generative AI Data Services, you will play a pivotal role in driving the success of our cutting-edge projects focused on building and enhancing Large Language Models (LLMs). Your primary responsibility will be to adhere to quality review instructions, pass, review or reject human-labeled data crucial for training AI models. In this dynamic and evolving field, you will be at the forefront of bridging the gap between human expertise and artificial intelligence, contributing significantly to the development of next-generation AI technologies. As a problem solver and highly organized lead, you will collaborate closely with internal teams and a global workforce, ensuring seamless communication, efficient execution, and successful delivery of projects.

Task Overview:
As a Data Annotation Reviewer, you will evaluate data annotation and bounding box responses from annotators. Your job is to ensure the correct annotation was applied within the input parameters match and the output is accurate and relevant according to the guidelines.

Key Responsibilities:

  • Review annotations to confirm they match the intended purpose of the guidelines.
  • Validate that the annotator answer is appropriate for the chosen function.
  • Check if the Annotation output includes all necessary information to filfull the guidelines.
  • Identify and assess individual data points in the AI response for accuracy and relevance.
  • Provide comments and feedback to clarify decisions or flag inconsistencies.

Language Proficiency:

  • Native level fluency in English.
  • Strong written and verbal communication skills in English.

Skills and Responsibilities

  • Assisting in the development and implementation of quality assurance policies.
  • Collaboration on project guidelines and supplemental learning materials.
  • Ensure compliance with client-specific requirements and performance standards in quality aspects of project execution.
  • Provide feedback and recommendations to PM team regarding UI design.
  • Review annotators and arbitrators weekly via the production monitoring process.
  • Review metrics and spot check individual tasks.
  • Record and flag quality issues.
  • Conduct end-of-day reporting to ensure smooth project handoffs and continuity across shifts.

Key Qualifications:

  • Located in Lousiville, KY and ability to work at client- on-site.
  • Required: Diploma and at least 2-3 years of experience in quality management, particularly in data services for AI.
  • Desired: Bachelor's degree, Linguistics or other related field of study
  • Experience writing data-labeling project guidelines and materials (or similar work in another field).
  • Ability to create useful and impactful insights for annotators and clients.
  • Basic familiarity with Microsoft Office 365 including Outlook, Excel, and PowerPoint.
  • General knowledge of online communication
  • Excellent communication both written and spoken.
  • Collaborative and solution focused.
  • Confidence and the ability to give/take feedback.
  • Ability to follow project directions and perform time bound tasks accurately and efficiently.
  • Ability to maintain quality while performing repetitive tasks.
  • Detail-oriented and problem-solving mindset.
  • Organized and focused enough to work independently as a role player within a team environment.

Availability:

  • Minimum of 30 hours per week.
  • Willingness to participate in training sessions and demos.

Certifications:

  • Successful completion of required certifications is mandatory.

Thanks and Regards,

Surbhi Yadav

Recruiter, Pro Integrate Consulting

New York | London | Bangalore

ISO 9001 and ISO 27001 Certified Company

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