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Human Intelligence Task Jobs in Georgia (NOW HIRING)

Accenture

Oracle HCM Core HR Consultant

Atlanta, GA · On-site

$73K - $218K/yr

... Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment ... The Work As an experienced Oracle Cloud HCM Core HR Consultant, your daily tasks will include:

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Human Intelligence Task information

What is a human intelligence task?

Human Intelligence Tasks, commonly referred to as HITs, are small, discrete jobs or assignments that require human judgment and intelligence to complete. These tasks are often posted on platforms like Amazon Mechanical Turk and can include things like identifying objects in images, transcribing audio recordings, categorizing content, or answering surveys. HITs are designed to be tasks that computers or automated systems cannot perform accurately, so they rely on human workers to provide the necessary insight and decision-making. Workers are usually paid a small amount for each completed HIT, and they can choose which tasks to accept based on their interests and qualifications.

What skills and qualifications are needed to thrive as a human intelligence task worker?

To thrive as a Human Intelligence Task worker, you need strong attention to detail, critical thinking, and the ability to follow complex instructions, often without formal qualifications required. Familiarity with web-based platforms like Amazon Mechanical Turk or Appen, and sometimes understanding of basic data annotation tools, is beneficial. Reliability, time management, and clear written communication are standout soft skills in this role. These skills ensure high-quality, accurate task completion, which is crucial for supporting data-driven projects and research.

What are common challenges faced by individuals working on human intelligence tasks and how can they be managed?

Professionals completing Human Intelligence Tasks, such as those on platforms like Amazon Mechanical Turk, often face challenges including repetitive work, unclear task instructions, and variable compensation. To manage these, it's important to carefully review instructions before starting each HIT, use community forums to share experiences and clarify ambiguities, and select tasks from reputable requesters known for fair payment and clear expectations. Maintaining focus through regular breaks and organizing your workflow can also help mitigate fatigue and improve overall efficiency.

What is the difference between Human Intelligence Task vs Data Annotation Specialist?

AspectHuman Intelligence TaskData Annotation Specialist
Required CredentialsBasic computer skills, no formal certification neededKnowledge of annotation tools, sometimes certifications in data labeling
Work EnvironmentOnline platforms, remote workRemote or in-office, often using specialized software
Employer & Industry UsageTech companies, crowdsourcing platformsAI and machine learning companies, data labeling firms
Search & Comparison IntentUnderstanding task-based work, gig economySpecialized data labeling roles, AI training

Human Intelligence Tasks (HITs) are small, simple tasks performed online, often by crowdsourced workers. Data Annotation Specialists focus on labeling data for AI training, requiring specific tools and sometimes certifications. While both roles involve online work and contribute to AI development, HITs are more general micro-tasks, whereas Data Annotation Specialists perform specialized, detailed data labeling.

What are popular job titles related to Human Intelligence Task jobs in Georgia?

For Human Intelligence Task jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Human Intelligence Task jobs in Georgia look for?

The top searched job categories for Human Intelligence Task jobs in Georgia are:

Human Intelligence Task jobs near you
Infographic showing various Human Intelligence Task job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Graduate Intern, Artificial Intelligence & Data Science - Summer 2027

Atlanta, GA

HD Supply
Wholesale • 5 - 10K employees
Learn more about HD Supplyexternal

Full-time

Posted 11 days ago

HD Supply rating

7.7

Company rating: 7.7 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

Job description

About the Role

HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.

As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.

The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intelligent automation, large language models (LLMs), agentic AI, and decision-support solutions. Interns will gain exposure to enterprise-scale datasets, cloud-based analytical environments, and the practical application of AI technologies within a large, complex organization.

This internship is designed for graduate-level talent seeking hands-on experience translating advanced analytics and AI concepts into measurable business outcomes.

Key Responsibilities

  • Analyze large and complex datasets to identify trends, opportunities, and business insights.
  • Support the development, testing, and refinement of machine learning and AI models.
  • Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
  • Develop visualizations, dashboards, reports, and presentations to communicate findings.
  • Partner with business stakeholders to understand challenges and translate them into analytical solutions.
  • Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
  • Document methodologies, assumptions, findings, and recommendations.
  • Present project outcomes and insights to technical and non-technical audiences.

Required Qualifications

  • Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
  • Anticipated graduation date of December 2027 or May 2028.
  • Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
  • Proficiency in Python, SQL, or other analytical programming languages.
  • Strong analytical, quantitative, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
  • Ability to work independently and collaboratively in a team environment.

Preferred Qualifications

  • Previous full-time professional work experience, internship experience, or relevant industry experience in analytics, data science, software engineering, artificial intelligence, machine learning, or a related field.
  • Experience developing machine learning models or AI solutions through academic research, professional work, internships, or personal projects.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Familiarity with large language models (LLMs), generative AI frameworks, or agentic AI applications.
  • Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
  • Exposure to MLOps, model monitoring, experimentation frameworks, or deployment practices.
  • Experience working with large-scale datasets and advanced statistical techniques.

Job Summary

Gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.

Major Tasks, Responsibilities, and Key Accountabilities

  • Prepares and delivers insights and recommendations based on analyses.
  • Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
  • Executes tasks directly related to functional projects and/or process improvements.
  • Communicates issues and roadblocks related to areas of responsibility.
  • May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.

Nature and Scope

  • Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data.
  • Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
  • May provide general guidance/direction to or train junior level support personnel.

Work Environment

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
  • Typically requires overnight travel less than 10% of the time.

Education and Experience

  • Typically requires BS/BA in a related discipline. Certification may be required in some areas. Generally 0-2 years of experience in a related field OR MS/MA and generally 0-1 year of experience in a related field.

Our Goals for Diversity, Equity, and Inclusion

We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.

Equal Employment Opportunity

HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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