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Junior Ai Data Analyst Jobs (NOW HIRING)

OBAN Corporation

Data Analyst (Jr.)

Vienna, VA

Junior Data Analyst Disclaimer: This position is being recruited in support of potential future ... Leverages AI tools appropriately to augment human analysis. * Researches, develops and writes ...

eClercx

Junior AI Engineer

New York, NY · On-site

$100K - $120K/yr

... tracking, and error analysis) to continuously improve accuracy and consistency. * Implement ... Git, REST APIs, logging basics, and data handling (JSON, SQL) * Ability to work in ambiguous ...

Jobs for Humanity

Junior Data Analyst

Framingham, MA · Hybrid

$30 - $35/hr

YUPRO Placement Junior Data Analyst This is a contract opportunity. This is a hybrid opportunity in Framingham, MA. About this position We're seeking a Junior Data Analyst to support reporting ...

Team 653 INT

Junior Data Analyst

Manhattan, NY

We are seeking a motivated Junior Data Analyst to support our team with collecting, organizing, and analyzing business data. The ideal candidate will help prepare reports, identify trends, maintain ...

New

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Unifirst

Junior AI Engineer

Wilmington, MA · On-site

$65K - $90K/yr

Ability to analyze tradeoffs among response quality, reliability, latency, token usage, and cost ... Experience orchestrating RAG pipelines or combining structured and unstructured data in AI ...

Synergie Systems

Junior Data Analyst

Phoenix, AZ · On-site

Junior Data Analyst Location: Phoenix, AZ Job Type: Only W2 · Collect, clean, validate, and analyze large datasets from multiple sources. · Develop and maintain dashboards, reports, and ...

Asta CRS Inc.

Be Seen First

Junior Data Analyst

Washington, DC · On-site

$28 - $30/hr

The Junior Data Analyst will support data-driven decision-making by collecting, processing, and analyzing data under the guidance of senior analysts. This role involves interpreting data trends ...

New

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision ...

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Junior Ai Data Analyst information

See salary details

$34.5K

$79.4K

$127.5K

How much do junior ai data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for junior ai data analyst in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What does a junior AI data analyst do?

A Junior AI Data Analyst assists in gathering, cleaning, and interpreting data used in artificial intelligence projects. They support the data science team by preparing datasets, running basic analyses, and generating reports to help improve AI models. Common tasks include data preprocessing, quality checks, and visualizing data trends. This entry-level role is ideal for individuals with strong analytical skills and an interest in machine learning and AI.

What are the key skills and qualifications needed to thrive as a junior AI data analyst, and why are they important?

To thrive as a Junior AI Data Analyst, you need a solid understanding of data analysis, statistics, and programming languages such as Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), machine learning libraries, and SQL databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for extracting actionable insights from complex datasets and supporting data-driven decision-making in AI projects.

What are some common challenges faced by junior AI data analysts when working with large datasets, and how can they overcome them?

Junior AI Data Analysts often encounter challenges such as data quality issues, inconsistent data formats, and managing large volumes of information. Overcoming these challenges typically involves learning effective data cleaning techniques, using tools like Python’s pandas or SQL for preprocessing, and collaborating closely with senior analysts or data engineers. Developing strong attention to detail and asking clarifying questions about data sources can also help ensure accurate analysis. Regular communication with the team and leveraging documentation or mentorship opportunities are key strategies for tackling these obstacles.

What is the difference between Junior Ai Data Analyst vs Data Scientist?

AspectJunior Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; basic knowledge of AI toolsBachelor's or Master's in Data Science, Statistics, or related; advanced skills in machine learning
Work EnvironmentEntry-level, team-based projects, data analysis, reportingAdvanced analysis, model development, research, complex problem-solving
Employer & Industry UsageTech companies, finance, healthcare, retailTech firms, research institutions, large enterprises

The main difference is that Junior Ai Data Analysts focus on basic data analysis and supporting AI projects, while Data Scientists develop complex models and perform advanced analytics. Junior roles are ideal for those starting in AI, whereas Data Scientists handle more sophisticated tasks requiring deeper expertise.

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Junior Ai Data Analyst jobs near you
Infographic showing various Junior Ai Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 8 days ago

Job description

OVERVIEW

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Project Details

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Key Responsibilities
  • Creatively writing prompts and responses to a variety of diverse topics
  • Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
  • Evaluate model outputs for accuracy, relevance, and instruction-following
  • Identify and document issues such as hallucinations and inconsistencies
  • Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
  • Training teams on best practices for creating Large Language Models/Data sets
Requirements
  • Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
  • Native or near-native English with excellent writing skills
  • Strong attention to detail and ability to follow guidelines consistently
  • Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
  • 4 year Accredited College degree or equivalent experience

Ways to stand out from the crowd:

  • College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
  • Experience working in annotation platforms or structured labeling environments is a plus
  • Deep understanding of Large Language Models/RLHF
  • Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
  • QA/testing experience

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.