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Remote Data Annotation Analyst Jobs in Nevada (NOW HIRING)

MANAGEMENT ANALYST 2

Carson City, NV · On-site +1

$64K - $95K/yr

Please note that this position is on-site and does not offer remote work options. The Job Duties ... Conduct statistical or investigative studies, compile and analyze data, and prepare and present ...

... open to remote (supporting Pacific time zone) Senior Analyst/Systems (SCADA) to serve as the ... In this role, you will design, implement, and maintain PI Data Archive, PI Asset Framework (AF), PI ...

MRA Adjustment Analyst

Henderson, NV · On-site +1

$70K - $80K/yr

Work with vendors and internal teams on ensuring accuracy of data being presented * Ensure ... remote work arrangement. Candidates within a 50-mile radius of a company office will follow our ...

Data Center COE Project Manager

NV · Remote

$112K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... Analyzing and addressing project risks, and regularly disseminating lessons learned * Working with ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Remote BCBA

Las Vegas, NV · Remote

$80K - $95K/yr

At CSD This role at CSD is designed for Board Certified Behavior Analysts (BCBA) ready to join and ... data-driven clinical programs Strong, supported clinical teams Families who trust the care provided ...

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Remote Data Annotation Analyst information

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What are the most commonly searched types of Data Annotation Analyst jobs in Nevada? The most popular types of Data Annotation Analyst jobs in Nevada are:
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What cities in Nevada are hiring for Remote Data Annotation Analyst jobs? Cities in Nevada with the most Remote Data Annotation Analyst job openings:
Senior Legal AI Scientist, Data Intelligence (Remote)

Senior Legal AI Scientist, Data Intelligence (Remote)

Relativity

Las Vegas, NV • Remote

Full-time

Posted 2 days ago

New


Job description

Relativity is seeking a Legal Data Intelligence SME to blend litigation expertise with advanced AI capabilities. You will help shape generative AI tools for legal workflows, interfacing with litigators and the applied science team to translate needs into technical solutions.

You will work with product managers, designers, and engineers to design tests, benchmarks, and training materials that improve AI analyses, data protection, and workflow efficiency.

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