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Remote Data Annotation Analyst Jobs in Milton, FL

System One

Data Analyst

Pensacola, FL · Remote

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

System One

Data Analyst

Pensacola, FL · Remote

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

System One

Data Analyst

Pensacola, FL · Remote

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

System One

Data Analyst

Pensacola, FL · Remote

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

System One

Data Analyst

Pensacola, FL · Remote

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

System One

Data Analyst

Pensacola, FL · Remote

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

SAIC

Technical Business Analyst

Pensacola, FL · On-site +1

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a Business Analyst ... Bachelor's Degree in Software Engineering, Information Technology, Cybersecurity, Data Science ...

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All JobsData Annotation Analyst JobsRemote Data Annotation Analyst JobsRemote Data Annotation Analyst Jobs in Milton, FL

Remote Data Annotation Analyst information

See Milton, FL salary details

$30.5K

$74K

$121.8K

How much do remote data annotation analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote data annotation analyst in Milton, FL is $74,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $86,900.00 per year, depending on experience, location, and employer.

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.
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Remote Data Annotation Analyst jobs near you

Data Analyst

System One

Pensacola, FL • Remote

Contractor

Posted 25 days ago

Job description

Job Title: Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid – onsite and remote

Responsibilities • Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research • Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis • Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes • Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects • Partner with senior staff to communicate findings and insight to stakeholders • Collaborate with team members and participate in team projects and initiatives • Provide data research and write data queries for smaller analytics projects

Requirements • 2-5 years of experience in data analysis and reporting • Basic understanding of business and operating environment • Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools • Effective skill with analytical techniques required for data usage and data cleaning • Skill interpreting, extrapolating and interpolating data for statistical research and modeling • Knowledge of various data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel) • Knowledge of data governance principles and practices • Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

#M- #LI- Ref: #851-Rockville-S1