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Entry Level Researcher Jobs in Michigan (NOW HIRING)

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Entry Level Researcher information

See Michigan salary details

$26.1K

$98.6K

$143.4K

How much do entry level researcher jobs pay per year?

As of Jun 13, 2026, the average yearly pay for entry level researcher in Michigan is $98,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $134,200.00 per year, depending on experience, location, and employer.

What types of projects do entry level researchers typically work on, and how are their responsibilities structured within a research team?

Entry level researchers often assist with data collection, literature reviews, and preliminary data analysis under the guidance of senior team members. They are usually assigned specific tasks within larger projects, such as conducting experiments, managing databases, or preparing reports. Collaboration is key, as entry level researchers frequently work alongside experienced researchers and support staff, allowing them to learn industry best practices and gradually take on more complex responsibilities. This structure provides excellent opportunities for mentorship and skill development within a collaborative team environment.

What is the difference between Entry Level Researcher vs Research Assistant?

AspectEntry Level ResearcherResearch Assistant
Required CredentialsBachelor's degree often in related fieldBachelor's degree or ongoing education in similar field
Work EnvironmentIndependent or team-based research projects, labs, or fieldworkSupporting research activities, data collection, lab work
Employer & Industry UsageUniversities, research institutes, private companiesUniversities, labs, government agencies
Common Search & ComparisonEntry Level Researcher vs Research Assistant

The main difference between an Entry Level Researcher and a Research Assistant lies in their roles and responsibilities. Entry Level Researchers often work independently on specific projects, requiring a bachelor's degree and some research experience. Research Assistants typically support senior researchers by handling data collection and lab tasks. Both roles are common in academic and research settings, but the Entry Level Researcher position may involve more independent work and project management.

What are the key skills and qualifications needed to thrive as an Entry Level Researcher, and why are they important?

To thrive as an Entry Level Researcher, you need strong analytical thinking, attention to detail, and a relevant bachelor's degree in a field like science, social science, or humanities. Familiarity with data analysis tools such as Excel, SPSS, or qualitative coding software, as well as experience with literature review databases, is typically required. Effective communication, curiosity, and problem-solving skills help you stand out by enabling clear reporting and creative investigation. These skills are crucial for delivering accurate, insightful research findings that support organizational goals and further knowledge in your field.

What Does an Entry-Level Researcher Do?

As an entry-level researcher, you do primary research and draft reports and analyses for your supervisors. Entry-Level researchers work in many different fields. Although your specific duties may vary based on your field, your responsibilities are typically to gather and analyze data, check sources, assist senior researchers with lab work or interviews, and set up information technology for studies. Researchers work in natural and environmental science, public policy, government, banking, pharmaceuticals, clinical and medical research, law, news and entertainment, and a variety of academic settings.

What does an Entry Level Researcher do?

An Entry Level Researcher assists with collecting, analyzing, and interpreting data under the supervision of senior researchers. They may conduct literature reviews, help design experiments or surveys, and organize research materials. Their role is essential in supporting the research process, ensuring accurate data collection, and contributing to reports or publications. This position is often a starting point for those interested in a research career in academic, corporate, or governmental settings.
More about Entry Level Researcher jobs
What are the most commonly searched types of Researcher jobs in Michigan? The most popular types of Researcher jobs in Michigan are:
What are popular job titles related to Entry Level Researcher jobs in Michigan? For Entry Level Researcher jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Researcher jobs in Michigan look for? The top searched job categories for Entry Level Researcher jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Researcher jobs? Cities in Michigan with the most Entry Level Researcher job openings:
Entry Level Researcher jobs near you
Infographic showing various Entry Level Researcher job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,579 per year, or $47.4 per hour.
Generative AI Researcher

Generative AI Researcher

Tata Consultancy Services

Warren, MI

Full-time

Posted 22 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

155th of 204 rated it services

Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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