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Data Annotation Engineer Jobs in Charlotte, NC (NOW HIRING)

Forhyre

Prompt Engineers

Charlotte, NC

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Nastech Global

GEN AI Engineer

Charlotte, NC · On-site

... Data Science, Computer Science, MIS ,related field, or equivalanet experience o 10+ yrs of ... Implement annotation,structured feedback loops,fine-tuning, and alignment methods to calibrate ...

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Charlotte, NC

Data Annotation Engineer information

See Charlotte, NC salary details

$48.1K

$137.7K

$184K

How much do data annotation engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data annotation engineer in Charlotte, NC is $137,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $183,000.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive as a data annotation engineer?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in Charlotte, NC?

For Data Annotation Engineer jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Charlotte, NC look for?

The top searched job categories for Data Annotation Engineer jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Data Annotation Engineer jobs?

Cities near Charlotte, NC with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,708 per year, or $66.2 per hour.

Prompt Engineers

Forhyre

Charlotte, NC

Full-time

Re-posted 29 days ago

Job description

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI.

Role Overview:

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems.

Responsibilities:

  • Collaborate with AI researchers and developers to understand project requirements and objectives.
  • Design and create a diverse range of prompts tailored to specific AI tasks and applications.
  • Develop creative and innovative ways to generate effective prompts that improve model performance.
  • Conduct extensive research to identify and curate relevant data sources for prompt development.
  • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes.
  • Optimize and fine-tune prompts based on continuous testing and feedback from AI models.
  • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy.
  • Stay up-to-date with the latest advancements in natural language processing and AI technologies.
  • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
  • Proven experience in working with natural language processing and AI technologies.
  • Strong understanding of AI models, algorithms, and neural networks.
  • Experience in prompt engineering, creative writing, or content creation is a plus.
  • Proficiency in programming languages such as Python or JavaScript.
  • Solid knowledge of data collection, preprocessing, and annotation for prompt development.
  • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Passion for innovation and a keen interest in staying updated with the latest AI trends.

Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.