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Remote Annotation 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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Remote Annotation information

See Ohio salary details

$14

$26

$35

How much do remote annotation jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote annotation in Ohio is $26.31, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $31.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Annotation position, and why are they important?

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.

What is a Remote Annotation job?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

What are the most commonly searched types of Annotation jobs in Ohio? The most popular types of Annotation jobs in Ohio are:
What are popular job titles related to Remote Annotation jobs in Ohio? For Remote Annotation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Annotation jobs in Ohio look for? The top searched job categories for Remote Annotation jobs in Ohio are:
What cities in Ohio are hiring for Remote Annotation jobs? Cities in Ohio with the most Remote Annotation job openings:
Infographic showing various Remote Annotation job openings in Ohio as of June 2026, with employment types broken down into 52% Full Time, 25% Part Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,724 per year, or $26.3 per hour.

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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