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Data Unpaid Jobs (NOW HIRING)

New Jersey Courts

Unpaid Intern

Somerset, NJ · On-site

$15.75 - $21.25/hr

Unpaid Intern Job Number: 2026-12873 Central Office/Vicinage: Somerset/Hunterdon/Warren Vicinage ... The intern may also assist with tasks such as, but not limited to, data entry and look ups, filing ...

LaAmistad

Internship- Unpaid

Atlanta, GA · On-site

LaAmistad is offering unpaid internship opportunities designed for students or recent graduates who ... Data tracking, program evaluation, and reporting * Real-world exposure to nonprofit operations

New Jersey Courts

Unpaid Intern

Somerset, NJ

$15 - $20/hr

Unpaid Intern Job Number: 2026-12873 Central Office/Vicinage: Somerset/Hunterdon/Warren Vicinage ... The intern may also assist with tasks such as, but not limited to, data entry and look ups, filing ...

LaAmistad

Internship- Unpaid

Atlanta, GA · On-site

LaAmistad is offering unpaid internship opportunities designed for students or recent graduates who ... Data tracking, program evaluation, and reporting * Real-world exposure to nonprofit operations

LaAmistad

Internship- Unpaid

Atlanta, GA · On-site

LaAmistad is offering unpaid internship opportunities designed for students or recent graduates who ... Data tracking, program evaluation, and reporting * Real-world exposure to nonprofit operations

New Jersey Courts

Unpaid Intern

Warren, NJ

$15.50 - $20.75/hr

Unpaid Interns will perform a variety of clerical, administrative, supportive tasks and customer ... The intern may also assist with tasks such as, but not limited to, data entry and look ups, filing ...

WOWK-TV

Unpaid Intern

Dallas, TX

$14.75 - $19.75/hr

This is an unpaid internship and the Intern is not entitled to wages or any compensation or ... Please be aware candidates may be at risk of being targeted by scammers seeking personal data or ...

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Data Unpaid information

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

To thrive as a Data Analyst, you need strong analytical skills, statistical knowledge, and typically a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and data visualization platforms such as Tableau or Power BI is commonly required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and presenting findings. These skills ensure accurate data analysis, actionable insights, and effective collaboration with stakeholders.

What are some common challenges faced by individuals in data entry roles, and how can they be effectively managed?

Data entry professionals often face challenges such as repetitive tasks, maintaining high accuracy, and meeting tight deadlines. To manage these, it’s important to develop strong attention to detail, take regular breaks to reduce fatigue, and utilize tools or software that help minimize errors. Effective communication with supervisors and team members can also help clarify expectations and streamline workflows. By adopting these strategies, data entry workers can maintain productivity and job satisfaction.

What is the difference between Data Unpaid vs Data Analyst?

AspectData UnpaidData Analyst
Required CredentialsNone or minimal; often students or volunteersBachelor's degree in data-related fields, certifications preferred
Work EnvironmentVolunteer or internship settings, non-profit or academic projectsCorporate, consulting, or agency environments with structured roles
Employer & Industry UsageEducational institutions, non-profits, personal projectsBusinesses, government agencies, consulting firms
Common Search & ComparisonOften compared for experience or entry-level opportunitiesCompared for career progression and salary expectations

Data Unpaid typically involves volunteer or internship roles with minimal credentials, often in non-profit or academic settings. Data Analysts usually hold formal education, certifications, and work in professional environments. Understanding these differences helps clarify career paths and expectations in the data industry.

What are Data Unpaid jobs?

Data Unpaid jobs typically refer to positions or internships in the data field, such as data analysis, data entry, or data science roles, that do not offer monetary compensation. These roles are often taken up by students or individuals seeking to gain experience, build their portfolios, or network within the industry. While they can provide valuable hands-on learning opportunities, it's important to consider the potential drawbacks of working without pay and to ensure the opportunity aligns with your career goals.
More about Data Unpaid jobs
What are the most commonly searched types of Data Unpaid jobs? The most popular types of Data Unpaid jobs are:
What states have the most Data Unpaid jobs? States with the most job openings for Data Unpaid jobs include:
What job categories do people searching Data Unpaid jobs look for? The top searched job categories for Data Unpaid jobs are:
Data Unpaid jobs near you
Infographic showing various Data Unpaid job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution.
AI Intern, Data Engineering & Agent Workflows (Unpaid)

AI Intern, Data Engineering & Agent Workflows (Unpaid)

Armada

OR • Remote

Other

Posted 17 days ago

Job description

About the role:

We are seeking a motivated AI Intern to join the Data & AI Agent team and help build the data infrastructure, AI agents, and automated workflows that power Armada's go-to-market motion. This is a hands-on role focused on data engineering and applied AI - not traditional ML research. You'll work directly with the Head of Data and AI Agent on the systems that turn fragmented Salesforce, SharePoint, and operational data into a single source of truth, and on the AI-powered tooling (lead scoring, signal intelligence, internal copilots) that runs on top of it. 

We are seeking a motivated Intern (unpaid) to join our team. This unpaid internship program is tailored for engineering students seeking to enrich their academic learning with practical, hands-on experience in the field.

Location: This role is remote.

Key Responsibilities: 

  • Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python. 
  • Develop and ship AI agents and copilots using the Claude API (and other LLM tooling) for use cases like lead scoring, account research, call analysis, and internal Q&A over company data. 
  • Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes. 
  • Model business data in dbt and Omni - building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on. 
  • Enrich and clean prospect and account data using sources like ZoomInfo, LinkedIn Sales Navigator, and public government datasets (e.g., USASpending, SAM.gov, FCC, EIA, FERC, SEC EDGAR). 
  • Prototype and ship internal tools end-to-end - backend (Python/FastAPI), frontend (Vite/React), and storage (PostgreSQL, StarRocks) - for AI-prioritized daily workflows. 
  • Write clear documentation for data models, pipelines, agents, and workflows so the team can extend and maintain them. 
  • Collaborate with GTM, RevOps, Finance, and product teams to translate business questions into data and automation solutions. 
  • Stay current on advances in agentic AI, retrieval, evals, and the modern data stack - and bring useful ideas back to the team.
  •  

Qualifications: 

  • Pursuing or recently completed a degree in Computer Science, Data Science, Data Engineering, Information Systems, Analytics, or a related field. 
  • Strong Python skills, including experience with libraries like Pandas, requests, and FastAPI or Flask. 
  • Solid SQL skills - able to write and debug analytical queries (joins, window functions, CTEs) against real-world, messy data. 
  • Familiarity with the modern data stack (dbt, a columnar warehouse such as StarRocks/Snowflake/BigQuery/Databricks, and a BI tool such as Omni, Tableau, Looker, or Power BI). 
  • Hands-on experience building something with an LLM API (Claude, OpenAI, etc.) - even a side project counts. Familiarity with prompt design, tool/function calling, or RAG is a strong plus. 
  • Exposure to workflow automation tools (Power Automate, Zapier, n8n, Airflow, or similar). 
  • Comfort with Git and basic software engineering practices (branches, PRs, code reviews). 
  • Strong problem-solving and analytical skills; able to work independently and in a team-oriented environment. 

What You'll Gain: 

  • Hands-on experience working with modern AI, automation, and data engineering tools in a real-world business environment
  • Exposure to cutting-edge technologies including LLMs, workflow automation, and cloud data platforms
  • The opportunity to build impactful projects used by GTM, RevOps, Finance, and leadership teams
  • Mentorship and collaboration with experienced engineers and business leaders
  • Practical experience with Python, SQL, dbt, APIs, dashboards, and AI-powered workflows
  • A stronger technical portfolio and resume through meaningful, production-focused projects
  • Insight into how AI and data systems drive decision-making and operational efficiency in a fast-growing technology company
  • Professional development in problem-solving, communication, collaboration, and cross-functional teamwork

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