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Remote Design Researcher Jobs in Indiana (NOW HIRING)

Relativity

Senior Applied Scientist

Indianapolis, IN · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

Circle

$172.50K - $225K/yr

What you'll bring to Circle * 5+ years of experience across crypto research, token design, protocol ... Remote

Circle

$172.50K - $225K/yr

What you'll bring to Circle * 5+ years of experience across crypto research, token design, protocol ... Remote

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$28.5K

$107.6K

$156.5K

How much do remote design researcher jobs pay per year?

As of May 29, 2026, the average yearly pay for remote design researcher in Indiana is $107,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a Remote Design Researcher job?

A Remote Design Researcher is responsible for studying user needs, behaviors, and experiences to inform design decisions, all while working remotely. They conduct user interviews, usability testing, and data analysis to improve digital products and services. This role requires strong analytical skills, empathy, and expertise in research methodologies. By working remotely, they collaborate with designers, product managers, and stakeholders using digital tools. The goal is to ensure that design solutions align with user expectations and business objectives.

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

To thrive as a Remote Design Researcher, you need a solid background in user research methods, human-centered design principles, and data analysis, typically backed by a degree in design, psychology, or a related field. Familiarity with tools such as Figma, Miro, Dovetail, and survey platforms, along with UX research certifications, is often expected. Outstanding communication skills, self-motivation, and the ability to collaborate effectively across distributed teams are highly valued soft skills. These competencies are essential for gathering actionable insights, driving design decisions, and ensuring remote research processes are effective and impactful.

What are some common challenges faced by Remote Design Researchers, and how do they overcome them?

Remote Design Researchers often face challenges such as coordinating research sessions across different time zones, building rapport with participants virtually, and collaborating effectively with design and product teams from a distance. To overcome these, they typically rely on clear communication channels, organized project management tools, and video conferencing software to facilitate real-time feedback and engagement. They also develop strong documentation and reporting practices to ensure research findings are accessible and actionable for team members. Adapting research techniques to the remote context, such as remote usability testing and asynchronous interviews, helps them gather quality insights despite the physical distance.
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Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Gary, IN • Remote

Other

Posted 7 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.

Apply