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Annotation Labelling Jobs in Kentucky (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Task Overview:   As a Data Annotation Reviewer, you will evaluate data annotation and bounding ... Experience writing data-labeling project guidelines and materials (or similar work in another field)

QA Specialist

Louisville, KY · On-site

$15 - $16/hr

Task Overview:   As a Data Annotation Reviewer, you will evaluate data annotation and bounding ... Experience writing data-labeling project guidelines and materials (or similar work in another field)

Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Kentucky? For Annotation Labelling jobs in Kentucky, the most frequently searched job titles are:

Data Annotation reviewer (QA) (GenAI/LLM)

Pro Integrate

Louisville, KY • On-site

Other

Posted 12 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