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Ai Annotation Remote Jobs in Ohio (NOW HIRING)

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

... and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final ...

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Ai Annotation Remote information

What are the most common challenges faced by remote AI annotation specialists, and how can they be effectively managed?

Remote AI annotation specialists often encounter challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with geographically dispersed teams. To overcome these issues, it's important to establish clear annotation guidelines, participate in regular team check-ins, and use collaboration tools for feedback and support. Utilizing productivity techniques and taking scheduled breaks can also help maintain focus and accuracy throughout the workday.

What are the key skills and qualifications needed to thrive as an AI Annotation Remote Worker, and why are they important?

To thrive as an AI Annotation Remote Worker, you need strong attention to detail, data labeling accuracy, and familiarity with basic computer operations, often supported by a high school diploma or higher. Experience with annotation platforms, image/video labeling tools, and understanding of data privacy protocols are typically required. Excellent communication, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, precise data labeling that directly impacts the effectiveness of AI models.

What are AI Annotation Remote jobs?

AI Annotation Remote jobs involve labeling, categorizing, or tagging data such as images, videos, text, or audio to train artificial intelligence and machine learning models. These tasks are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. The work helps improve the accuracy of AI systems in areas like speech recognition, computer vision, and natural language processing. It is common for these positions to be part-time or contract-based, and attention to detail is essential for success in this field.

What is the difference between Ai Annotation Remote vs Data Labeler?

AspectAi Annotation RemoteData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentOften compared for entry-level AI data tasksRelated role for data preparation tasks

Ai Annotation Remote and Data Labeler roles share similar requirements and work environments, focusing on data annotation for AI systems. However, Ai Annotation Remote often emphasizes more specialized tasks within AI development, while Data Labeler roles may include broader data preparation activities. Both are suitable for remote work and require attention to detail, making them popular choices for those entering the AI industry.

What are the most commonly searched types of Ai Annotation jobs in Ohio? The most popular types of Ai Annotation jobs in Ohio are:
What are popular job titles related to Ai Annotation Remote jobs in Ohio? For Ai Annotation Remote jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Ai Annotation Remote jobs? Cities in Ohio with the most Ai Annotation Remote job openings:

Senior Director, Client Accounts - AI Data Foundry

TELUS Digital

Columbus, OH • Remote

$168K - $210K/yr

Full-time

Posted 11 days ago


TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

91st of 204 rated it services


Job description

Job Summary

Senior Director, Client Accounts for the AI Data Solutions practice. This role leads a high‑performing team of Client Account Partners aligned to influential technology firms. It requires a blend of people leadership and hands‑on client executive responsibilities, setting strategic direction while driving and deepening relationships with marquee accounts. The position sits at the intersection of artificial intelligence, data operations, and client success, demanding expertise in the full AI data lifecycle—from data collection and annotation to validation, fine‑tuning, and model evaluation.

Location & Flexibility

Remote within the US (prioritizing the US West Coast) or based in Charlottesville, VA; Durham, NC; Columbus, OH; or Boston, MA.

Responsibilities
  • Lead, mentor, and develop a team of Client Account Partners focused on industry‑leading technology firms, fostering accountability, curiosity, and client‑first thinking.
  • Set performance expectations and support each team member in building and executing account strategies that drive retention, expansion, and net‑new revenue.
  • Coach the team on Data‑specific solutioning (data collection, annotation, and validation), consultative selling, and executive engagement, ensuring they credibly advise clients on labeling workflows, quality frameworks, and AI training best practices.
  • Conduct regular account reviews, pipeline assessments, and deal coaching sessions to maintain forecast accuracy and identify risks or growth opportunities across the portfolio.
  • Serve as a senior client account executive and strategic point of escalation for the most complex client relationships.
  • Build and maintain trusted relationships with AI, data science, product, and operations leaders across the portfolio.
  • Lead executive business reviews and strategic planning sessions aligning TELUS Digital’s capabilities to each client’s AI roadmap and data needs.
  • Drive retention, expansion, and new workstream growth within named accounts, demonstrating the consultative approach expected of the team.
  • Act as the client voice internally, surfacing insights that influence delivery, product development, tooling priorities, and research investments.
  • Develop deep expertise across TELUS Digital’s Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off‑the‑Shelf Datasets capabilities.
  • Guide clients in designing scalable, high‑quality data programs for model training and fine‑tuning goals.
  • Partner with Solutions Architecture and Delivery teams to develop technically credible, customized proposals addressing client data pipeline requirements.
  • Stay ahead of industry trends in AI training data and responsible AI practices, ensuring the team remains well‑informed.
  • Execute a comprehensive growth strategy for the Client Accounts team, balancing revenue targets with long‑term partnership development.
  • Maintain rigorous pipeline hygiene, forecast accuracy, and account health reporting using Salesforce.
  • Collaborate cross‑functionally with Delivery, Solutions Architecture, Finance, and Legal to ensure seamless client experiences and commercially sound agreements.
  • Contribute to practice‑level initiatives, including go‑to‑market strategy, capability messaging, and thought leadership for the AI Data Solutions business.
Qualifications
  • 10+ years of F500 client account management experience, with at least 3+ years in a commercial people leadership role overseeing account teams.
  • 3+ years of sales experience in Data Collection, Annotation, and Validation professional services.
  • Track record of building, coaching, and scaling high‑performing teams in a complex, technical services environment.
  • Proven ability to manage and grow a portfolio of large, strategic accounts with multiple stakeholders across business units and seniority levels.
  • Experience leading executive‑level engagements, business reviews, and long‑cycle renewals and expansions.
  • Deep familiarity with data collection, annotation, and validation services, workflows, and quality frameworks across modalities (text, image, video, audio, sensor data).
  • Strong understanding of how training data supports AI and ML model development, fine‑tuning, and evaluation, and ability to translate that knowledge into client‑relevant solutions.
  • Comfort discussing generative AI, agentic AI pipelines, and responsible AI principles with technical and business audiences.
  • Experience working with or selling to AI‑forward technology companies is strongly preferred.
  • Exceptional executive presence and presentation communication skills, engaging credibly at the C‑suite level.
  • Consultative, client‑first approach, solutions‑oriented, and committed to understanding each client’s business before proposing a path forward.
  • Proficiency with enterprise sales and account management tools.
Compensation

Compensation Range: $168K – $210K

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy.

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