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Remote Prompt Engineering Jobs in Flossmoor, IL (NOW HIRING)

Remote work requests will be considered consistent with company's remote work policy. Job ... Prompt Engineering: Chain-ofthought prompting, prompt caching, zero-shot prompting. Agentic ...

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Support prompt engineering and AI workflow automation. * Develop integrations between AI services ...

Senior Software Engineer

Chicago, IL · Remote

$126K - $166K/yr

You are proficient in English, both written and verbal, sufficient for success in a remote and ... You have hands-on experience with modern LLM APIs across providers - including prompt engineering ...

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

Senior eDiscovery Analyst

Chicago, IL · Remote

$94K - $120K/yr

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC ... prompt engineering, model limitations and hallucination risk, human-in-the-loop quality control ...

Design Expert - Remote

Chicago, IL · On-site +1

$30 - $70/hr

Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping ... engineer/vibecoder. * Experience at a product- or design-focused company, startup, or notable ...

Showing results 21-40

Remote Prompt Engineering information

See Flossmoor, IL salary details

$16

$31

$46

How much do remote prompt engineering jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote prompt engineering in Flossmoor, IL is $31.79, according to ZipRecruiter salary data. Most workers in this role earn between $25.43 and $36.78 per hour, depending on experience, location, and employer.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What cities near Flossmoor, IL are hiring for Remote Prompt Engineering jobs?

Cities near Flossmoor, IL with the most Remote Prompt Engineering job openings:

Infographic showing various Remote Prompt Engineering job openings in Flossmoor, IL as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $66,127 per year, or $31.8 per hour.

Senior Software Engineer

Morningstar, Inc.

Chicago, IL • On-site, Remote

$153K/yr

Full-time

Medical, Dental, Life, Retirement

Re-posted 16 days ago


MorningStar Senior Living rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

65th of 247 rated social care providers


Job description

Job Duties:

Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native services (20%). Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query optimization, indexes, replicas, migrations, Weaviate, Pinecone) and working with dataframes for data processing and analysis (SQL-based agents) (20%). Driving AI security, compliance, and governance strategies (hallucination mitigation, ethical AI practices, AI guardrails) (10%). Architecting, researching and reviewing AI-driven enterprise platforms (retrieval-augmented generation, LLM fine-tuning, AI governance, model optimization) (20%). Defining and reviewing technical documentation, setting architectural guidelines, enforcing best coding practices, conducting design reviews, and ensuring maintainability and scalability of codebases (10%). Collaborating with cross-functional teams to align AI strategies with business needs and technical requirements (20%). **Remote work requests will be considered consistent with company's remote work policy.

Job Requirements:

This position requires a bachelor's degree in computer science, or a related field, or foreign equivalent and 5 years of relevant experience as a Software Engineer, Application Development Associate, or in a related position. In alternative, we accept a Master's degree in Computer Science, or a related field, or foreign equivalent and 3 years of relevant experience as a Software Engineer, Application Development Associate, or in a related position.

This position also requires database engineering management through RDBMS (SQL Server, PostgreSQL) including design, normalization, optimization, sharding, ACID transactions, and migrations. Python Development: Production applications, APIs (calling and invoking, Rest API's) for data preprocessing. Object-oriented programming in Python/Java, including OOP design patterns and UML architecture. Data processing and visualization by using QlikView and Python (Pandas, Plotly, Matplotlib). Agile development practices with emphasis on customer-centric delivery. Cloud and infrastructure management by using various cloud services such as AWS S3, Aurora, RDS, API Gateway, and AWS Lambda. Machine learning and statistical methods, including natural language processing (NLP) and embeddings. Version control and CI/CD (Git, application deployment and monitoring tools). Authoring technical documentation for developers, technical, and non-technical users. Vector Databases & Retrieval: Weaviate, Pinecone, GraphQL-based querying, AI-powered retrieval. Scalability & Performance: Queuebased request handling (SQS, Celery), event-driven architectures, caching using in-memory data structures such as Redis. AI Adoption: Driving AI tool adoption within enterprises. Multiprovider integration (OpenAI, Anthropic, MistralAI, etc.), Retrieval augmented generation, function calling, structured outputs, conversational memory. Prompt Engineering: Chain-ofthought prompting, prompt caching, zero-shot prompting. Agentic Frameworks: LangGraph or AutoGen for building agentic orchestrations. Feature Flagging tools such as Split or CloudBees. Financial AI Applications: Investment-related AI, financial data analysis. Contributions to Python open-source projects or packages. LLM Understanding & Safety: Transformers, attention mechanisms, fine-tuning, hallucination mitigation, AI safety guardrails. **Will accept any suitable combination of education, training, and experience.

Must possess unrestricted right to work in the U.S. in this position

Base Salary Compensation: $153,317.00

Morningstar is an equal opportunity employer.

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health

    • Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-termdisabilityinsurance

  • Emotional Health

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & FormalMentorshipOpportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

001_MstarInc Morningstar Inc. Legal Entity

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