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Manager Data Annotation Ai Content Writer Jobs in Kentucky

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 ...

$76 - $103/hr

Strong written communication skills. * Ability to commit to approximately 25-40 hours per week ... medical data annotation, clinical informatics, healthcare AI, or similar projects. Training ...

$160 - $200/hr

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and ... You will work on the full model lifecycle: data, annotation quality, training, evaluation, release ...

$275 - $320/hr

... purely as a people-manager - while driving expansion across a fast-moving, technically ... Own and grow a $10M+ book of business within Meta, spanning AI/ML training data, annotation, and ...

$140 - $190/hr

Strong stakeholder‑management, facilitation, written communication, and decision‑making skills ... Use of AI‑generated content in applications or AI assistance during interviews will result in ...

$90 - $120/hr

We measure how effectively AI is applied to deliver results, and consistent, creative use of the ... global annotation teams * Identify opportunities for better tooling, automation, and workflow ...

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

$130 - $180/hr

Ability to write production oriented code and work within cloud environments like AWS Azure or GCP ... Familiarity with fine tuning techniques and human in the loop annotation workflows. This is an ...

New

$180 - $240/hr

Our AI Content Operating System gives teams the freedom to model, create, and automate content the ... Partner with product managers and engineering leads to frame questions, define analytical ...

$193 - $551/hr

... is the leading AI data lab for training frontier models and evaluating AI agents. Experts ... Collaborate asynchronously with project managers and internal reviewers to align on rubrics and ...

$120 - $180/hr

Solid understanding of HTML/CSS, JavaScript SEO bottlenecks, and content management systems (CMS ... AI writing tools (Claude, ChatGPT) for content workflows * Bing Webmaster Tools * ClickUp * Slack ...

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Manager Data Annotation Ai Content Writer information

What is a Manager Data Annotation AI Content Writer?

A Manager Data Annotation AI Content Writer is a professional who oversees teams responsible for labeling data, such as text, images, or audio, to train artificial intelligence models. In addition to managing the data annotation process, they also create, edit, and optimize content that guides AI systems in understanding language and context. This role requires both leadership and technical skills, ensuring high-quality annotated datasets and effective communication with cross-functional teams. They play a crucial part in improving the accuracy and performance of AI-driven content and applications.

What are the key skills and qualifications needed to thrive as a Manager Data Annotation AI Content Writer?

To thrive as a Manager Data Annotation AI Content Writer, you need expertise in data annotation processes, strong written communication, and a background in linguistics, computer science, or a related field. Familiarity with annotation tools (such as Labelbox or Prodigy), project management software, and knowledge of AI/NLP frameworks are typically required, along with certifications in data science or project management being advantageous. Outstanding organizational skills, attention to detail, and the ability to lead and train diverse teams help you excel in this role. These competencies ensure high-quality annotated datasets, efficient workflow management, and the effective development of AI-powered language models.

How does a Manager Data Annotation AI Content Writer typically collaborate with cross-functional teams to ensure high-quality AI training data?

A Manager Data Annotation AI Content Writer works closely with data scientists, machine learning engineers, and project managers to define annotation guidelines, review data quality, and align content with AI model requirements. Regular meetings and feedback sessions help ensure annotated data meets project goals and standards. Additionally, this role often provides training and support to annotation teams, fostering clear communication and continuous process improvement. This collaborative approach is crucial for maintaining accuracy and consistency in AI training datasets.

What is the difference between Manager Data Annotation Ai Content Writer vs Data Annotation Specialist?

AspectManager Data Annotation Ai Content WriterData Annotation Specialist
CredentialsBachelor's degree in relevant field, experience in AI content creationHigh school diploma or equivalent, training in data annotation tools
Work EnvironmentTeam management, project oversight, collaboration with AI developersData labeling tasks, working with annotation tools, individual or team-based
Industry UsageAI development companies, tech firms, content creation agenciesAI companies, data labeling firms, machine learning teams
Search & Comparison IntentUnderstanding managerial roles in AI content creationHands-on data annotation tasks and skills

The Manager Data Annotation Ai Content Writer oversees annotation projects and manages teams, focusing on strategy and quality control. In contrast, a Data Annotation Specialist performs the actual labeling work, ensuring data accuracy. Both roles are essential in AI development but differ in responsibilities and experience requirements.

What are the most commonly searched types of Data Annotation Ai Content Writer jobs in Kentucky?

The most popular types of Data Annotation Ai Content Writer jobs in Kentucky are:

What are popular job titles related to Manager Data Annotation Ai Content Writer jobs in Kentucky?

For Manager Data Annotation Ai Content Writer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Manager Data Annotation Ai Content Writer jobs in Kentucky look for?

The top searched job categories for Manager Data Annotation Ai Content Writer jobs in Kentucky are:

What cities in Kentucky are hiring for Manager Data Annotation Ai Content Writer jobs?

Cities in Kentucky with the most Manager Data Annotation Ai Content Writer job openings:

Data Annotation Engineer

Louisville, KY • On-site

Tanisha Systems, Inc.
1 - 5K employees

Other

Posted 2 days ago

New


Job description

Data Annotation Engineer
Location - Louisville, Kentucky (Day 1 onsite)
Pay Rate: Market- based on experience
We are looking for an Annotation Program Lead to manage our AI Quality Annotation Program. This individual will oversee the operational execution of human review activities that establish the gold-standard datasets used to measure conversational AI performance, safety, and compliance.
The ideal candidate combines strong program management skills with experience in quality assurance, data annotation operations, and stakeholder engagement.
  • Lead the day-to-day operation of the AI annotation program.
  • Manage a team of annotators responsible for reviewing customer conversations and AI interactions.
  • Develop annotation guidelines, procedures, and quality standards.
  • Establish calibration programs and quality assurance processes to ensure consistency across reviewers.
  • Partner with Data Scientists to create and maintain gold-standard datasets.
  • Monitor annotation accuracy, throughput, and quality metrics.
  • Coordinate reporting and deliverables for Legal, Compliance, Responsible AI, and executive stakeholders.
  • Manage annotation workflows and tooling including setting up annotation jobs, running data processing scripts, and testing annotation UIs for quality before job launch.
  • Plan capacity requirements to support seasonal increases in review volume.
  • Support future expansion into multilingual evaluation programs.
  • Identify process improvements that increase efficiency and annotation quality.
  • Bachelor's degree or equivalent experience in Linguistics/Psychology.
  • 5+ years of experience in program management, operations, quality assurance, data labeling, or related fields.
  • Experience leading teams and managing operational workflows.
  • Strong organizational and stakeholder management skills.
  • Ability to analyze quality metrics and drive continuous improvement initiatives.
  • Excellent written and verbal communication skills.
  • Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.
  • Strong organizational and stakeholder management skills.
  • Ability to analyze quality metrics and drive continuous improvement initiatives.
  • Excellent written and verbal communication skills.
  • Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.
  • Experience supporting AI, machine learning, or data annotation programs.
  • Familiarity with Responsible AI, compliance, legal review, or governance processes.
  • Experience developing operational standards and quality frameworks.
  • Experience managing vendor or contractor resources.