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Tinker Field Jobs (NOW HIRING)

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Tinker Field information

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$14

$25

$38

How much do tinker field jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for tinker field in the United States is $25.19, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $29.33 per hour, depending on experience, location, and employer.

What are Tinker Field jobs?

Tinker Field jobs refer to employment opportunities at or related to Tinker Field, which is a historic baseball stadium located in Orlando, Florida. These jobs can include positions in event management, groundskeeping, facility maintenance, concessions, security, and administrative roles. Depending on current events or scheduled activities, temporary or seasonal jobs may also be available. Working at Tinker Field often involves supporting sports events, concerts, or community gatherings held at the venue.

What are the key skills and qualifications needed to thrive as a Field Technician, and why are they important?

To thrive as a Field Technician, you need strong troubleshooting abilities, technical know-how in electronics or mechanics, and often an associate degree or relevant certification. Familiarity with diagnostic tools, mobile data entry systems, and industry-specific equipment is typically required. Excellent communication, problem-solving, and time management skills set standout professionals apart. These skills ensure timely and effective onsite service, customer satisfaction, and reliable maintenance of equipment in diverse field environments.

What are some common challenges faced by grounds crew members working at Tinker Field, and how can applicants prepare for them?

Grounds crew members at Tinker Field often face challenges such as working long hours, particularly during game days or special events, and adapting to rapidly changing weather conditions. The role may require physically demanding tasks, including field maintenance, equipment setup, and repairs, often under tight deadlines. Applicants can prepare by building physical stamina, gaining basic knowledge of groundskeeping tools, and demonstrating flexibility and teamwork skills, as collaboration with event staff and other maintenance teams is frequent. It's important to be proactive, safety-conscious, and able to communicate effectively within a fast-paced sports venue environment.

What is the difference between Tinker Field vs Tinkerer?

AspectTinker FieldTinkerer
CredentialsOften no formal certifications, but technical knowledge helpfulTypically no formal certifications, relies on self-taught skills
Work EnvironmentWorkshops, labs, or manufacturing settingsHome workshops, maker spaces, or informal settings
Industry UsageManufacturing, engineering, product developmentHobbyist, DIY, creative projects
Search/Comparison IntentTechnical, professional, or industry-relatedHobbyist, DIY, creative interests

While both Tinker Field and Tinkerer involve hands-on work and creativity, Tinker Field typically refers to a professional or industry-related role in manufacturing or engineering, often requiring technical knowledge. Tinkerer, on the other hand, is more informal, associated with hobbyists and DIY enthusiasts working in personal or community spaces. Understanding these differences helps clarify job expectations and search intent.

More about Tinker Field jobs
What cities are hiring for Tinker Field jobs? Cities with the most Tinker Field job openings:
What states have the most Tinker Field jobs? States with the most job openings for Tinker Field jobs include:
Infographic showing various Tinker Field job openings in the United States as of May 2026, with employment types broken down into 25% As Needed, and 75% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $52,387 per year, or $25.2 per hour.

Research Engineer, Tinker, Developer Experience

Thinking Machines Lab

San Francisco, CA

$350K - $475K/yr

Other

Medical, Dental, Vision, PTO

Posted 9 days ago


Job description

About Tinker

Tinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs - opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is rapidly adding new customers, features, and novel use-cases. We're hiring to grow the platform alongside the Tinker community.

About the Role

We're hiring a research engineer focused on developer experience to build Tinker while using Tinker - working hands-on with real users and turning their challenges into product improvements. You'll write and update cookbook recipes, add library features,  prototype integrations, and ensure users can customize models smoothly.

This role is a bridge between Tinker users and our research and infrastructure teams. You'll surface user patterns to guide product and infrastructure priorities, and share what you learn through blog posts, demos, and code examples.

This is a technical-first role with a major user-facing component. It's ideal for someone who's happiest in a code editor or Jupyter notebook, but who also enjoys talking to creative people. Tinker is flexible by design to empower novel and ambitious use cases for model fine-tuning - your job is to help them succeed.

What You'll Do
  • Write, test, and maintain high-quality code examples, recipes, and documentation in the Tinker cookbook.
  • Work directly with a variety of users to debug technical issues and optimize their fine-tuning pipelines.
  • Partner with internal research and infra teams to identify and prioritize improvements to Tinker's developer experience.
  • Build tools, integrations, and demos that reduce user friction and make it easy to experiment and deploy models.
  • Share insights from the field through posts, guides, and talks.
  • Help develop Tinker's near-term roadmap and long-term product strategy.
Preferred Qualifications

Enabling user success in building on top of an advanced platform is a skill that can be developed through many paths. You might demonstrate that you have it if you:

  • Experienced with fine-tuning large language models (LLMs) with supervised and reinforcement learning, and how to tune the hyperparameters of these algorithms.
  • Experienced with developing software libraries, especially open-source libraries.
  • Are thoughtful about developer experience, with clear ideas around developer ergonomics, onboarding flow, and sharp edges.
  • Are passionate about engaging with open-source communities, whether by contributing code, answering questions, or sharing learnings.
  • Have written public or internal code examples, tutorials, or papers that helped others understand and apply technical concepts.
  • Are comfortable reasoning about model training, fine-tuning, and inference, and can credibly discuss tradeoffs between different approaches.
Logistics
  • Location: This role is based in San Francisco, California. 
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.