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Part Time Ai Data Annotation Jobs in Georgia (NOW HIRING)

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Booz Allen Hamilton, Inc.

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

AGG

Security Automation Intern

Atlanta, GA · On-site

... AI-driven security, and Zero Trust principles. This part-time internship is ideal for students or ... Support compliance and documentation activities related to data protection and client/security ...

JLL

Mailroom Assistant - Part Time

Covington, GA · On-site

$16/hr

Using AI capabilities, we analyze your application for relevant skills, experiences, and ... For more information about how JLL processes your personal data, please view our Candidate Privacy ...

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All JobsPart Time Ai Data Annotation JobsPart Time Ai Data Annotation Jobs in Georgia

Part Time Ai Data Annotation information

How much do AI data annotators make?

AI data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many roles are freelance or part-time, often requiring basic computer skills and attention to detail.

What is the difference between Part Time Ai Data Annotation vs Data Labeler?

AspectPart Time Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Search IntentPart Time Ai Data Annotation vs Data Labeler

Part Time Ai Data Annotation involves labeling data specifically for training AI models, often requiring understanding of data types like images, text, or audio. Data Labelers perform similar tasks but may have broader roles in data categorization. Both roles are similar in credentials and work environment, primarily serving AI and tech industries. The main difference lies in terminology and specific job descriptions, but they often overlap in responsibilities and skills.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, good reading comprehension, and basic computer skills. Many roles require no formal degree, but familiarity with annotation tools and understanding of data labeling standards are helpful. Some employers may prefer candidates with experience in machine learning or related fields, and the work often involves flexible, part-time schedules.

What are the key skills and qualifications needed to thrive as a Part Time AI Data Annotation specialist, and why are they important?

To thrive as a Part Time AI Data Annotation specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with annotation platforms, data labeling tools, and sometimes workflow management systems is important for efficiency. Strong organizational skills, reliability, and the ability to follow precise instructions make someone stand out in this position. These skills ensure high-quality, accurate labeled data, which is critical for training effective AI models.

What is a Part Time AI Data Annotation job?

A Part Time AI Data Annotation job involves labeling, categorizing, or tagging data—such as images, text, or audio—to help train artificial intelligence and machine learning models. Annotators review raw data and apply guidelines to ensure AI systems learn to recognize patterns accurately. These roles are often flexible, can be done remotely, and require attention to detail and consistency. It's a great entry-level position for those interested in AI and technology, even without a technical background.

What are some common challenges faced by part-time AI data annotators, and how can they be managed?

Part-time AI data annotators often encounter challenges such as maintaining accuracy while working with repetitive tasks and managing time effectively alongside other commitments. Annotators may also face ambiguity in data or unclear labeling instructions. To address these challenges, it's important to ask clarifying questions, take regular breaks to maintain focus, and stay updated on annotation guidelines. Many teams provide support channels and regular training sessions to help annotators improve their skills and ensure consistency.

Is it hard to get hired for data annotation?

Getting hired for a part-time AI data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The application process is often straightforward, with many companies offering flexible schedules and minimal formal requirements, making it accessible for beginners.

How can I make $2000 a week working from home?

Part Time AI Data Annotation jobs can contribute to earning income from home, but making $2000 weekly typically requires working multiple hours or combining several projects. Success depends on the pay rate per annotation, efficiency, and available workload, with some annotators earning higher rates through specialized skills or platforms that pay per task. Consistent effort, quality work, and familiarity with annotation tools can help increase earnings, but reaching $2000 weekly may be challenging on a part-time basis alone.
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Part Time Ai Data Annotation jobs near you
Data Analyst IV

Data Analyst IV

Amdex Corporation

Atlanta, GA • On-site

$50 - $60/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

JOB NUMBER: 1634 | LOCATION: Remote CLEARANCE/ACCESS LEVEL: NACI

Data Engineer & Analyst, Part-time with Full Time Potential

AMDEX.ai The Art of Data Science

We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics, and technical expertise to accelerate data modernization. We specialize in data science and cloud solutions, application development and maintenance, program management, and health IT operations leveraging experience and trusted talent to solve the federal government’s most pressing business and technical challenges. Without you, it’s just data.

AMDEX is seeking an experienced Data Engineer & Analyst to join our dynamic team supporting a federal client.

Overview

This position serves as a hybrid data engineer and data analyst, responsible for design, configuration, integration, and operational support of enterprise analytics systems. This role focuses on implementing secure, scalable data pipelines and structured data assets across multiple platforms, including Palantir Foundry, Azure data services, Databricks, and SQL Server environments. The position emphasizes production-grade data engineering, database optimization, and analytics platform enablement, while maintaining the capability to support applied analytics workflows when required.

Key Responsibilities

  • Design, build, and integrate secure data workflows across Palantir Foundry, Azure Data Factory, Databricks, and SQL Server environments
  • Develop and maintain structured datasets, data models, and schema designs supporting reporting and surveillance analytics
  • Build, optimize, and maintain ETL/ELT pipelines supporting analytics and operational workloads
  • Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools
  • Perform performance tuning, troubleshooting, and operational monitoring across analytics and database platforms
  • Support the operationalization of analytics workflows into repeatable, production-ready processes

Requirements

Advanced experience working with R and Python

Advanced experience writing and optimizing queries for SQL server

Knowledge of public health, socioeconomic, and demographic datasets and variables

Knowledge of statistical concepts, such as random sampling, basic analysis, and data suppression

Ability to obtain and maintain a Government suitability clearance

Working knowledge of SAS statistical analysis programming is a plus, but not required


AMDEX Corporation offers a competitive salary package and attractive benefits package.

  • Medical | Dental | Vision (Base plan employee premiums 100% company paid)
  • Employer Paid Life and Disability Insurance, STD and LTD
  • Employee Assistance Plan and Employee Discounts
  • 11 Federal Holidays | PTO accrual with carryover
  • 401(k) Plan with company match | Flexible Spending Accounts: Medical, Dependent, Transit
  • Tuition Reimbursement & Training Assistance

Visit our Careers website at www.amdexcorp.com/amdex-ai-jobs/ .

EOE M/F/D/V