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Hourly Remote Data Annotation Jobs in Columbus, OH

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Hourly Remote Data Annotation information

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

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.
What are the most commonly searched types of Remote Data Annotation jobs in Columbus, OH? The most popular types of Remote Data Annotation jobs in Columbus, OH are:
What are popular job titles related to Hourly Remote Data Annotation jobs in Columbus, OH? For Hourly Remote Data Annotation jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Annotation jobs in Columbus, OH look for? The top searched job categories for Hourly Remote Data Annotation jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Hourly Remote Data Annotation jobs? Cities near Columbus, OH with the most Hourly Remote Data Annotation 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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