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Volunteer Ai Tasker Jobs in Addison, IL (NOW HIRING)

AI Software Engineer

Lake Forest, IL ยท On-site +1

$103K - $172K/yr

Must be able to use prompt engineering to carry out multiple development tasks. * Familiar with AI ... Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and ...

Senior AI Engineer

Chicago, IL ยท On-site

$200K - $300K/yr

This role is how that happens: fine-tuning and distilling open-weight models for DV-specific tasks ... Voluntary LTD, Life & AD&D insurance * Flexible Vacation policy * Retirement plan with employer ...

This role is how that happens: fine-tuning and distilling open-weight models for DV-specific tasks ... Voluntary LTD, Life & AD&D insurance * Flexible Vacation policy * Retirement plan with employer ...

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Volunteer Ai Tasker information

See Addison, IL salary details

$8

$19

$33

How much do volunteer ai tasker jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for volunteer ai tasker in Addison, IL is $19.17, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $20.24 per hour, depending on experience, location, and employer.

What is a Volunteer AI Tasker?

Volunteer AI Taskers are individuals who offer their time and skills to assist with tasks related to artificial intelligence, often for non-profit organizations, research groups, or community projects. Their responsibilities can include data labeling, testing AI models, providing feedback, or helping to organize and manage AI-related projects. These volunteers help make AI initiatives more accessible and effective, often contributing remotely and on a flexible basis. By volunteering as an AI Tasker, you can gain valuable experience, support important causes, and collaborate with others interested in technology.

What are the key skills and qualifications needed to thrive as a Volunteer AI Tasker?

To thrive as a Volunteer AI Tasker, you need strong analytical skills, attention to detail, and a basic understanding of artificial intelligence concepts, typically supported by relevant coursework or self-study. Familiarity with data labeling tools, annotation platforms, and project management systems is often required. Effective communication, reliability, and adaptability help volunteers collaborate smoothly and meet project goals. These skills ensure high-quality data contributions and support the development and accuracy of AI systems.

What are some common challenges faced by Volunteer AI Taskers, and how can they be managed effectively?

Volunteer AI Taskers often work on diverse projects with varying requirements, which can lead to challenges such as unfamiliarity with new AI tools, balancing multiple tasks, and adapting to shifting project priorities. Effective communication with project coordinators and team members is crucial for clarifying expectations and deadlines. Staying proactive in learning and seeking support from more experienced volunteers helps manage knowledge gaps and ensures tasks are completed efficiently. Embracing flexibility and a willingness to collaborate are key to thriving in this dynamic and rewarding role.

What is the difference between Volunteer Ai Tasker vs Data Annotator?

AspectVolunteer Ai TaskerData Annotator
CredentialsNone required, often self-guidedTypically requires basic training or certification
Work EnvironmentRemote, flexibleRemote or on-site, depending on employer
Industry UsageUsed in AI training, research projectsUsed in machine learning, AI development
Search & Comparison IntentPeople seeking volunteer or gig work in AIIndividuals exploring data labeling roles

Volunteer Ai Taskers and Data Annotators both contribute to AI development, but Volunteer Ai Taskers typically work voluntarily without formal credentials, often in flexible remote settings. Data Annotators may require basic training and are usually paid for their work. While both roles support AI projects, Volunteer Ai Taskers focus on volunteer-based tasks, whereas Data Annotators are employed in professional data labeling roles.

What are the most commonly searched types of Ai Tasker jobs in Addison, IL?

The most popular types of Ai Tasker jobs in Addison, IL are:

What are popular job titles related to Volunteer Ai Tasker jobs in Addison, IL?

For Volunteer Ai Tasker jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching Volunteer Ai Tasker jobs in Addison, IL look for?

The top searched job categories for Volunteer Ai Tasker jobs in Addison, IL are:

What cities near Addison, IL are hiring for Volunteer Ai Tasker jobs?

Cities near Addison, IL with the most Volunteer Ai Tasker job openings:

Infographic showing various Volunteer Ai Tasker job openings in Addison, IL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $39,879 per year, or $19.2 per hour.

AI Solutions Engineer

ConAgra Foods, Lamb Weston

Chicago, IL โ€ข Hybrid

$81K - $118K/yr

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago


Job description

Reporting to the Director of AI Strategy, you will prototype, launch, and scale user-facing agentic workflows and solutions that deliver measurable value across Conagra's commercial organization. You will turn business use cases into working pilots, iterate with partners, and move the right solutions into production. Your Impact Build and ship fast: Prototype, iterate, and take to production multi-step agentic workflows that solve real business tasks such as information gathering, trend synthesis, and opportunity sizing. Translate use cases into clear flows using platform building blocks and connectors and deliver grounded outputs with citations.Own the experience: Design prompts and task flows and create simple chat or UI surfaces where needed. Integrate results back into business systems. Write clean, maintainable code, and optimize application latency, reliability, and cost.Shape the build plan: Contribute to a practical generative AI backlog with AI Strategy, sequence work, and de-risk ideas with quick proofs before scaling.Ground outputs in data: Use retrieval over governed sources. Design prompts and simple checks so answers are accurate, attributable, and include citations.Validate and raise quality: Build simple evaluation tests for each task, monitor task success and citation coverage, catch hallucinations and data leakage, and fix regressions quickly.Partner with the platform team: Build reusable agentic solutions on shared tooling, maintain end-to-end observability with traces, logs, and metrics, and meet weekly with IT on a shared backlog to align priorities and shape the platform roadmap.Lead with code: Drive projects end to end. Write production-quality code, review pull requests, and set engineering standards.Partner to production: Work with Data Engineering, Platform Engineering, IT Enablement, and product and business partners to move pilots to scale with clear SLAs and handoffs.Document and enable reuse: Publish patterns, components, and starter projects so new pilots launch faster.Stay current and pragmatic: Track useful advances in Large Language Model (LLM) tooling and retrieval and adopt improvements that demonstrably help outcomes.Your Experience 5+ years of experience.Education: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field, or equivalent practical experience.Proven experience leading AI projects end to end with hands-on software engineering and code development, from prototype to production.Proficiency in Python, SQL and at least one of Java, TypeScript/JavaScript, or C# (.NET).Shipped at least one AI application that uses retrieval over enterprise data with citations.Hands-on with agent frameworks such as Semantic Kernel, LangGraph, or LangChain, composing tools and functions into multi-step workflows.Strong API design and system integration skills.Experience with embeddings and vector or hybrid search such as Azure AI Search, Elasticsearch or OpenSearch, FAISS, or Pinecone.Comfortable building lightweight UIs or simple chat experiences when needed.Solid engineering practices in testing, monitoring, reliability, and basic cost and latency optimization.Excellent analytical thinking, problem solving, communication, and cross-functional collaboration.Number of Days in Office: 3 #LI-Hybrid #LI-SG1 #LI-MSL Compensation Pay Range:$81,000-$118,000The annual salary listed above is the expected offering for this position. An employee's actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees' equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.Our BenefitsWe care about your total well-being and will support you with the following, subject to your location and role:Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursementWealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase planGrowth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursementBalance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunitiesOur CompanyAt Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions - within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®.Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.