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Remote Research Engineer Jobs in Indiana (NOW HIRING)

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... Conduct multidisciplinary research and collaborate with equipment designers and/or hardware ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... Conduct multidisciplinary research and collaborate with equipment designers and/or hardware ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN · On-site +1

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... Conduct multidisciplinary research and collaborate with equipment designers and/or hardware ...

AI Automation Engineer -Remote

Hammond, IN · On-site +1

$202.38K - $234.20K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Fort Wayne, IN · On-site +1

$202.38K - $234.20K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Terre Haute, IN · On-site +1

$202.38K - $234.20K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

South Bend, IN · On-site +1

$202.38K - $234.20K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Indianapolis, IN · On-site +1

$202.38K - $234.20K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Evansville, IN · On-site +1

$202.38K - $234.20K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Gary, IN · On-site +1

$202.38K - $234.20K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... Conduct multidisciplinary research and collaborate with equipment designers and/or hardware ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... Conduct multidisciplinary research and collaborate with equipment designers and/or hardware ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN · On-site +1

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... Conduct multidisciplinary research and collaborate with equipment designers and/or hardware ...

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Remote Research Engineer information

See Indiana salary details

$35.2K

$100.9K

$135.6K

How much do remote research engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote research engineer in Indiana is $100,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $99,000.00 per year, depending on experience, location, and employer.

What is a Remote Research Engineer job?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What are the key skills and qualifications needed to thrive in the Remote Research Engineer position, and why are they important?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What are some unique challenges faced by Remote Research Engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.
What are popular job titles related to Remote Research Engineer jobs in Indiana? For Remote Research Engineer jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Research Engineer jobs? Cities in Indiana with the most Remote Research Engineer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Hammond, IN • Remote

Other

Posted 9 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.