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Entry Level Artificial Intelligence Consultant Jobs

Sogeti

Entry Level Technology Consultant

Columbus, OH · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Artificial Intelligence touches every part of our work, giving you the opportunity to learn and ...

Sogeti

Entry Level Technology Consultant

New York, NY · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Artificial Intelligence touches every part of our work, giving you the opportunity to learn and ...

System One

BI / AI Solutions Consultant

Tulsa, OK · Remote

$150K - $170K/yr

Not specified Overview System One has partnered with a growing healthcare resource company seeking an experienced business intelligence and artificial intelligence consultant to help take their ...

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Entry Level Artificial Intelligence Consultant information

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How much do entry level artificial intelligence consultant jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level artificial intelligence consultant in the United States is $65,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $85,000.00 per year, depending on experience, location, and employer.

What does an entry level artificial intelligence consultant do?

An Entry Level Artificial Intelligence (AI) Consultant helps organizations understand and implement AI technologies. They assist in analyzing data, identifying opportunities for automation, and supporting the design and deployment of AI solutions under the guidance of senior consultants. Their responsibilities often include researching AI trends, preparing reports, and working with clients to solve business challenges using machine learning and data analysis. This role serves as a starting point for a career in AI consulting, providing exposure to real-world projects and industry best practices.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence consultant?

To thrive as an Entry Level Artificial Intelligence Consultant, a solid background in computer science, mathematics, and data analysis—often supported by a relevant degree—is essential. Familiarity with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and data visualization tools is typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively help individuals excel in client-facing and team-driven environments. These competencies enable consultants to analyze data, develop AI solutions, and communicate technical insights clearly to clients, driving successful project outcomes.

What types of projects and tasks can an entry level artificial intelligence consultant expect to work on in their first year?

As an Entry Level Artificial Intelligence Consultant, you will typically work on a variety of projects such as developing machine learning models, assisting with data preprocessing, and supporting AI proof-of-concept initiatives for clients. You may also help with researching emerging AI technologies, preparing client presentations, and collaborating with senior consultants and data scientists. Early in your career, you’ll likely participate in team meetings, contribute to documentation, and gradually take on more responsibility as you gain experience and develop technical and consulting skills.

What is the difference between Entry Level Artificial Intelligence Consultant vs Data Analyst?

AspectEntry Level Artificial Intelligence ConsultantData Analyst
Required CredentialsBachelor's in CS, AI, or related field; some certifications (e.g., AI certifications)Bachelor's in Statistics, Data Science, or related field; certifications optional
Work EnvironmentTech companies, consulting firms, AI startupsBusiness, finance, healthcare, and retail sectors
Employer & Industry UsageOrganizations implementing AI solutions, machine learning projectsOrganizations analyzing data to inform decisions
Common Search & Comparison IntentUnderstanding entry-level roles in AI consultingComparing roles in data analysis and AI

Entry Level Artificial Intelligence Consultants focus on implementing AI solutions and machine learning models, often working with technical teams. Data Analysts interpret data to generate insights, typically using statistical tools. While both roles require analytical skills, AI consultants need knowledge of AI frameworks and programming, whereas Data Analysts focus more on data visualization and reporting.

Can I get an entry level artificial intelligence consultant job with no experience?

Entry level artificial intelligence consultant positions typically require some foundational knowledge of programming, data analysis, and machine learning concepts. While prior experience is often preferred, candidates with relevant skills, certifications, or strong educational backgrounds in related fields can sometimes qualify for entry-level roles without extensive experience.

How to get into entry level artificial intelligence consulting with no experience?

Entry level artificial intelligence consulting roles typically require foundational knowledge of programming, data analysis, and machine learning concepts. Gaining skills through online courses, certifications, and hands-on projects using tools like Python, TensorFlow, or scikit-learn can help build relevant experience. Internships or entry-level positions in data analysis or software development can also provide practical exposure to AI applications.
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Entry Level Artificial Intelligence Consultant jobs near you
Infographic showing various Entry Level Artificial Intelligence Consultant job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $65,224 per year, or $31.4 per hour.

Artificial Intelligence Researcher

Verita AI

San Jose, CA • On-site

Other

Posted 8 days ago

Job description

Location: San Francisco

Employment Type: Full-time

Work Model: In-person


About Verita AI

Verita AI works with leading AI companies to identify model gaps and build the human data needed to improve model performance. Verita AI operates a vetted expert network that connects specialized professionals with leading AI laboratories and human-data companies. The network comprises more than 5,000 experts across finance, medicine, law, engineering, music, and other professional domains.


We recently raised a $6 million seed round led by Kindred Ventures.


About the Role

We are hiring an Applied AI Researcher to work directly with clients on model evaluation and data strategy.


You will evaluate model performance, identify failure modes, and recommend the datasets, rubrics, expert workflows, and quality controls needed to address them. You will then work with our operations and engineering teams to turn these recommendations into scalable data programs.


What You’ll Do

  • Work with clients to understand their models, goals, and performance gaps.
  • Design evaluations for generative, multimodal, reasoning, tool-use, and agentic AI systems.
  • Analyze model outputs and benchmark results to identify and quantify failure modes.
  • Recommend data solutions such as supervised fine-tuning data, preference data, expert demonstrations, critiques, and evaluation datasets.
  • Write client proposals covering the methodology, data design, quality controls, staffing, deliverables, and expected impact.
  • Create annotation guidelines, scoring rubrics, gold-standard tasks, and evaluator-training programs.
  • Design pilot studies and measure whether data interventions improve model performance.
  • Build quality systems using calibration tasks, blind review, adjudication, and expert scoring.
  • Work with operations and engineering teams to launch and scale data pipelines.
  • Present findings and recommendations to clients.


What We’re Looking For

  • Experience in applied AI research, machine learning, model evaluation, or data-centric AI.
  • Experience evaluating foundation models or generative AI systems.
  • Strong understanding of benchmark design, human evaluation, rubric development, and statistical analysis.
  • Ability to translate model failures into practical data solutions.
  • Strong Python skills and experience working with model APIs and structured datasets.
  • Familiarity with supervised fine-tuning, preference optimization, RLHF/RLAIF, reward modeling, synthetic data, or LLM-as-a-judge evaluation.
  • Strong technical writing and client communication skills.
  • Ability to independently structure and execute ambiguous research projects.


Nice to Have

  • Experience at an AI lab, foundation-model company, AI data company, or post-training team.
  • Experience designing expert-data or human-evaluation programs.
  • Experience evaluating multimodal, coding, agentic, or tool-use systems.
  • Publications at conferences such as NeurIPS, ICML, ICLR, ACL, or EMNLP.
  • Previous client-facing research, consulting, solutions engineering, or forward-deployed experience.
  • Public research, code, benchmarks, or evaluation frameworks.


Please make sure you have any relevant work samples, including model evaluations, benchmarks, error analyses, research, technical writing, or code repositories.


Apply