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Data Annotation Manager Jobs in Lexington, SC (NOW HIRING)

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Data Annotation Manager information

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$26.5K

$83.2K

$147.2K

How much do data annotation manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data annotation manager in Lexington, SC is $83,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $107,400.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Lexington, SC? The most popular types of Data Annotation jobs in Lexington, SC are:
What job categories do people searching Data Annotation Manager jobs in Lexington, SC look for? The top searched job categories for Data Annotation Manager jobs in Lexington, SC are:
What cities near Lexington, SC are hiring for Data Annotation Manager jobs? Cities near Lexington, SC with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Strategic Projects Lead, Managed Services

Strategic Projects Lead, Managed Services

Prolific

North, SC • On-site, Remote

Other

Posted 21 days ago

Job description

Strategic Projects Lead, Managed Services 

Prolific

Prolific isn't just enabling AI innovation - we're redefining it. While foundational AI technologies are becoming commoditized, Prolific's human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.

The Role

As we scale our Managed Services division, we're seeking a Strategic Projects Lead to scope, design, and deliver complex human data projects. You'll work directly with leading AI companies, researchers, and product teams to set up impactful, scalable pilots-from first client conversation to task material design, rater training, and operational execution.

This is a high-ownership, cross-functional role ideal for a creative strategist and operational builder who thrives in ambiguity, loves solving complex problems, and wants to drive the future of how human data powers AI.

What You'll Be Doing

  • Own project scoping and feasibility: Engage with customers to understand their objectives, co-create study designs, assess viability, and propose clear success criteria.
  • Lead project setup: Draft protocols, instructions, workflows, and platform configurations tailored to the client's use case.
  • Design and operationalize rater pipelines: Develop scalable onboarding, training, QA, and performance tracking processes.
  • Run pilots and iterate: Launch small-scale tests to evaluate feasibility, cost, quality, and throughput, then optimize for scale.
  • Ensure delivery excellence: Project manage execution to timelines and budgets, providing customers with proactive updates and insights.
  • Collaborate cross-functionally: Work with Data, Product, and Engineering to identify automation opportunities, improve task templates, and build reusable solutions.
  • Document learnings: Create playbooks, case studies, and standardized workflows that enhance operational readiness and reduce setup friction over time.

What You'll Bring to the Role

  • 7+ years experience in strategy, operations, consulting, product, or customer-facing delivery roles-ideally within a high-growth, data or tech-focused environment.
  • Strong analytical and systems thinking abilities, with a track record of designing and delivering operational processes.
  • Comfortable working with technical stakeholders and learning new tools, platforms, or frameworks quickly.
  • Skilled at translating abstract problems into structured plans, and executing with high attention to detail.
  • Excellent written and verbal communication, with strong project management and cross-functional influencing skills.
  • Excited by ambiguity, complexity, and building something new from scratch.
  • Curious and passionate about AI, data quality, and how humans contribute to responsible model development.
Nice to have
  • Experience in data labeling, annotation, rater workflows, or evaluation tasks.
  • Knowledge of SQL, Python, or tools like Notion, Zapier,Asana & Miro
  • Familiarity with LLM applications, model evaluation frameworks, or human-in-the-loop systems.
  • Experience managing domain experts, linguists, programmers, or other specialized raters.

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research.

Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role's location as well as your skills, experience, and relevant education or training. You can check the job posting's subtitle to see where the position is based. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process.

For pay transparency, the base salary range for this full-time role in San Francisco or New York is $150,000-$200,000 per annum and negotiable for other states.


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By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

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