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Data Annotation Tech Jobs in Raleigh, NC (NOW HIRING)

Senior AI/ML Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ... Driven to learn new technologies and deepen your expertise across frontend, backend, and data ...

Data Annotation Tech information

See Raleigh, NC salary details

$11

$22

$33

How much do data annotation tech jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data annotation tech in Raleigh, NC is $22.18, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $26.39 per hour, depending on experience, location, and employer.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

Is data annotation real or fake?

Data annotation is a legitimate job involving labeling data such as images, text, or audio to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand their AI and machine learning projects. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Job availability can vary by industry and region but generally remains steady due to ongoing AI development needs.

How much does data annotation tech pay?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level roles may pay closer to minimum wage, while experienced workers or those with specialized skills can earn higher wages. Some positions offer freelance or remote work with flexible pay rates.

Does data annotation really pay you?

Data annotation jobs typically pay hourly or per task, with rates varying based on the platform, complexity of the work, and experience. Many companies and platforms offer remote work opportunities, and pay can range from minimum wage to higher rates for specialized skills or faster completion times.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What are popular job titles related to Data Annotation Tech jobs in Raleigh, NC? For Data Annotation Tech jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Raleigh, NC look for? The top searched job categories for Data Annotation Tech jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Annotation Tech jobs? Cities near Raleigh, NC with the most Data Annotation Tech job openings:
Infographic showing various Data Annotation Tech job openings in Raleigh, NC as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $46,135 per year, or $22.2 per hour.

Senior Sales Director, AGI/GenAI Builders

TELUS Digital

Durham, NC • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

92nd of 204 rated it services


Job description

Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting‑edge technology, agile thinking, and a people‑first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end‑to‑end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise Technology, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in‑store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi‑billion‑dollar parent company.

Location & Flexibility

This role can operate remotely within the US (we are prioritizing candidates based on the US West Coast) OR be based out of one of our major US office locations - Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA.

The Opportunity

TELUS Digital is at the forefront of enabling the next generation of AI, and we're looking for a Senior Director, AGI Builders Sales, to help lead that charge. We are looking for someone who can build, inspire, and scale a world‑class sales team while personally driving and closing some of the most complex and high‑value deals in the market.

As a senior leader within our Data Annotation practice, you will set the strategic direction for your team, cultivate executive‑level relationships with AGI Builders and Fortune 1000 clients, and act as a key growth driver for TELUS Digital's Data Annotation practice. You'll operate as a pod owner — aligning client market planning, pipeline development, and go‑to‑market execution across sales, marketing, and solutions teams — while modeling the consultative, high‑performance sales culture you expect from your team.

If you are energized by the intersection of AI innovation and enterprise sales, and you bring the leadership presence and commercial instincts to match, this role was built for you.

Responsibilities Team Leadership & Development
  • Lead, mentor, and develop a team of Account Executives, setting clear expectations, fostering a high‑performance culture, and driving consistent achievement of individual and collective revenue targets.
  • Provide structured coaching, actionable feedback, and ongoing development support to elevate team capability and accelerate growth.
  • Drive the evolution of the current team while shaping the future‑state organization, ensuring sustained effectiveness, operational efficiency, and high‑impact outcomes.
Direct Sales Execution
  • Personally own and advance a pipeline of large, complex enterprise deals, leading all stages from prospecting and discovery through negotiation and close.
  • Build trusted, consultative relationships with executive, technical, and operational stakeholders across multiple business units within target client accounts.
  • Develop and execute tailored account strategies that drive net‑new revenue, client account expansion, and long‑term strategic partnerships.
  • Lead strategic deal planning, including mutual close plans and executive alignment strategies, with a deep understanding of enterprise AI maturity and data annotation requirements.
Strategic Partnerships & Go‑to‑Market Alignment
  • Partner closely with Solutions Architecture and Delivery teams to craft compelling, technically credible value propositions tailored to the specific needs of AGI Builder clients.
  • Act as the voice of the client internally — translating enterprise insights into actionable input that shapes product roadmap priorities, research direction, and delivery execution.
  • Collaborate with Marketing to align on campaigns, competitive messaging, and integrated strategies that accelerate pipeline generation and support sales objectives.
  • Serve as a thought leader and trusted advisor within the AGI and Data Annotation ecosystem, staying ahead of market trends, competitive dynamics, and evolving customer needs.
Operational Excellence & Forecasting
  • Maintain rigorous pipeline hygiene, forecast accuracy, and account health reporting using Salesforce and associated sales tools.
  • Communicate clearly and consistently with leadership on team performance, deal status, risk factors, and growth opportunities.
Competencies Experience & Track Record
  • 7+ years of Data & AI professional services sales, with at least 2+ years focused on selling Data Annotation services.
  • 3+ years of experience leading and growing AI sales teams.
  • Proven success leading teams to consistently achieve or exceed revenue targets across a portfolio of large, complex enterprise accounts.
  • Demonstrated ability to personally close and expand high‑value enterprise deals, with a strong command of consultative and solution‑based sales methodologies.
  • Experience building and executing long‑term account strategies that deliver sustained, compounding revenue growth.
  • Proven ability to lead and coach sales professionals at various stages of their careers, driving measurable performance improvement.
Skills & Competencies
  • Exceptional executive presence with strong written, verbal, and presentation communication skills; able to engage credibly with stakeholders at the C‑suite level.
  • A consultative, client‑first mindset with the ability to navigate complex organizational structures and influence cross‑functional stakeholders — both externally and internally.
  • Strong business acumen with the ability to develop executive‑level materials, ROI‑driven business cases, and compelling strategic narratives.
  • Highly organized with strong project management skills and the ability to manage multiple complex deals simultaneously without sacrificing quality or attention to detail.
  • Proficiency in enterprise sales processes and CRM platforms, with Salesforce experience strongly preferred.
Domain Knowledge
  • Familiarity with AI, machine learning, large language models (LLMs), AGI development workflows, or data annotation services is strongly valued.
  • A genuine technical curiosity and the ability to engage meaningfully with technical buyers and solutions teams.
  • Understanding of the AGI Builder ecosystem — including the key players, their data infrastructure challenges, and the competitive landscape — is a significant differentiator.
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.

Compensation Range: $168K - $210K

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