1

Data Annotation Manager Jobs in Virginia (NOW HIRING)

next page

Showing results 1-20

Data Annotation Manager information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do data annotation manager jobs pay per year?

As of May 29, 2026, the average yearly pay for data annotation manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

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.

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.

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 Virginia? The most popular types of Data Annotation jobs in Virginia are:
What cities in Virginia are hiring for Data Annotation Manager jobs? Cities in Virginia with the most Data Annotation Manager job openings:
Infographic showing various Data Annotation Manager job openings in Virginia as of May 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $96,311 per year, or $46.3 per hour.
Remote Financial Planning & Analysis Manager - AI Trainer ($50-$60 per hour)

Remote Financial Planning & Analysis Manager - AI Trainer ($50-$60 per hour)

Data Annotation

Blacksburg, VA • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

Posted 29 days ago


Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you're looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

In this role, you might:Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital marketsLeverage your education and work experience to check the reasoning and accuracy of an AI Assistant's workPush the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn't.Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master's or PhD (completed or in progress) is strongly preferred.

Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits:This is a full-time or part-time REMOTE positionYou'll be able to choose which projects you want to work onYou can work on your own scheduleProjects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities:Give AI chatbots diverse and complex problems and evaluate their outputsEvaluate the quality produced by AI models for correctness and performance Qualifications:Fluency in English (native or bilingual level)Detail-orientedProficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance managementA current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you.

PayPal will handle any currency conversions from USD. This is an independent contract position.