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Internship Remote Data Annotation Jobs in Ohio (NOW HIRING)

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Internship Remote Data Annotation information

What is the difference between Internship Remote Data Annotation vs Data Labeling Specialist?

AspectInternship Remote Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsRelevant experience or certifications in data annotation or related fields
Work EnvironmentRemote, flexible hours, often part-timeRemote or on-site, depending on employer, often full-time
Industry UsageCommon in AI/ML projects, tech companies, research institutionsUsed in AI/ML, autonomous vehicles, healthcare, and tech sectors

Internship Remote Data Annotation roles are usually entry-level, temporary positions aimed at gaining experience, while Data Labeling Specialists are more experienced roles focused on accurately annotating data for machine learning models. Both roles are essential in AI development but differ in experience requirements and job scope.

What typical tasks can I expect to handle as a remote data annotation intern, and how is performance usually evaluated?

As a remote data annotation intern, your primary tasks will involve reviewing and labeling data—such as images, text, or audio—according to specific guidelines provided by your team. You'll likely work with annotation tools, follow detailed instructions to ensure high-quality and consistent labeling, and may participate in quality assurance checks. Performance is generally evaluated based on annotation accuracy, speed, and your ability to follow instructions, with regular feedback provided via virtual meetings or project management platforms. Effective communication and attention to detail are key to succeeding in this collaborative, remote environment.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Intern, and why are they important?

To thrive as a Remote Data Annotation Intern, you need attention to detail, basic data processing skills, and familiarity with labeling guidelines, generally supported by a high school diploma or relevant coursework. Experience with annotation platforms, spreadsheets, and sometimes basic programming tools or machine learning frameworks is often required. Strong communication, time management, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is critical for training reliable machine learning models.

What is a remote data annotation internship?

A remote data annotation internship is a temporary position where interns work from home or another remote location to label, categorize, or tag data such as images, text, or audio. This annotated data is often used to train machine learning models and improve artificial intelligence systems. Interns typically use specialized platforms or tools to complete their tasks, and gain hands-on experience in data handling, quality control, and understanding AI workflows. The internship is ideal for those interested in technology, data science, or AI, and often requires strong attention to detail and good communication skills.
What are the most commonly searched types of Remote Data Annotation jobs in Ohio? The most popular types of Remote Data Annotation jobs in Ohio are:
What cities in Ohio are hiring for Internship Remote Data Annotation jobs? Cities in Ohio with the most Internship Remote Data Annotation job openings:
Infographic showing various Internship Remote Data Annotation job openings in Ohio as of June 2026, with employment types broken down into 3% As Needed, 48% Full Time, 46% Part Time, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

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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