ZipRecruiter

Log In

1

Toy Design Intern Jobs (NOW HIRING)

previous page

Showing results 21-22

All Jobsinternship JobsArts and Entertainment JobsArts JobsGraphic Designer JobsToy Design Intern Jobs

Toy Design Intern information

See salary details

$9

$19

$36

How much do toy design intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for toy design intern in the United States is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.63 per hour, depending on experience, location, and employer.

What is a toy design intern?

A Toy Design Intern assists in creating and developing toys by supporting design teams with sketching, prototyping, and researching trends. They may work on 3D modeling, material selection, and testing to ensure toys are fun, safe, and engaging. Interns often collaborate with engineers, marketers, and manufacturers to bring ideas to life. This role provides hands-on experience in the toy industry, helping interns build their design skills and industry knowledge.

What kind of projects or responsibilities can I expect as a toy design intern?

As a Toy Design Intern, you can expect to participate in brainstorming sessions, assist with prototyping and concept development, and create sketches or digital models of new toy ideas. You'll often collaborate with experienced designers, engineers, and marketing teams, gaining exposure to the full product development process—from initial idea to sample production. Your responsibilities may also include conducting market research, gathering user feedback, and presenting concepts to team members. This hands-on experience helps you build your portfolio and understand real-world industry standards while contributing meaningfully to creative projects.

What are the key skills and qualifications needed to thrive in the toy design intern position, and why are they important?

To thrive as a Toy Design Intern, you need a solid grounding in product design principles, sketching, and 3D modeling, often supported by coursework or a related degree. Experience using technical tools such as Adobe Creative Suite, CAD software (like SolidWorks or Rhino), and prototyping equipment is valuable. Creativity, teamwork, and strong communication skills help interns contribute unique ideas and work effectively within diverse teams. These abilities are crucial to bringing innovative toy concepts to life, collaborating with stakeholders, and meeting project goals in a fast-paced product development environment.

More about Toy Design Intern jobs

What cities are hiring for Toy Design Intern jobs?

Cities with the most Toy Design Intern job openings:

What are the most commonly searched types of Toy Design jobs?

The most popular types of Toy Design jobs are:

What states have the most Toy Design Intern jobs?

States with the most job openings for Toy Design Intern jobs include:

What job categories do people searching Toy Design Intern jobs look for?

The top searched job categories for Toy Design Intern jobs are:

Toy Design Intern jobs near you
Infographic showing various Toy Design Intern job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Software Engineer - AI Coding Agent Evaluation

Mindrift

Remote

$35/hr

Part-time

Posted 4 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
About the Role
You'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.
Responsibilities:
  • Invent a realistic developer scenario - a real bug, a broken ETL, a missing feature - not a toy problem.
  • Build a reproducible Docker environment with pinned dependencies.
  • Write a pytest that verifies outcomes, not specific commands - deterministic, non-flaky, and does not leak the fix.
  • Write an instruction.md that reads like a Jira ticket a developer would receive.
  • Write a reference solve.sh proving the task is solvable.
  • Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time.
  • Iterate based on feedback from expert QA reviewers.
  • Later: review other authors' tasks as a QA reviewer.

Not in scope
  • Data labeling, prompt engineering.
  • Production code to ship - you design problems and verification for AI agents.
  • Leetcode puzzles - scenarios must look like real developer work.
  • Not every candidate task ships - quality over quantity.

Requirements
  • 3+ years of production software development in one backend stack - Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth.
  • Python + pytest fluency - required regardless of primary stack. The task harness is pytest-based even when the broken app is in another language. Fixtures, parametrize, monkeypatch, timeouts, conftest.py.
  • Docker authoring - reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.
  • Linux & Bash - comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.
  • AI coding agent experience - Claude Code, Cursor, Roo Code, or similar, on non-trivial work. You can cite a specific time the AI was confidently wrong and how you caught it.
  • English - B2+ written.

Not a fit
  • Data Science, ML, or Computer Vision engineers without backend-engineering output.
  • Manual QA testers without automation or test authoring.
  • Frontend-only, low-code / no-code, IT Support, or Business Analysts.
  • Engineers who have never written pytest from scratch.
  • Junior, intern, or assistant as the most recent role.

Preferred qualifications
  • Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.
  • Modern Python tooling (uv, poetry, pyproject.toml).
  • Coverage tooling (pytest-cov, coverage.py, gcov, llvm-cov, kcov).
  • Fuzzing or property-based testing (Hypothesis).
  • Prior contribution to agent-evaluation benchmarks or related frameworks.

Process
Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.
Time commitment
  • Onboarding: ~10 hours per first task.
  • Steady state: ~5 hours per task, 2-4 parallel tasks per author.
  • Realistic weekly load: 8-20 hours. Higher volume available for top performers.
  • You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.

Compensation:
  • Paid contributions, rates up to $35/hour*.
  • Task-based compensation equivalent to hourly rate, depending on performance and volume.
  • Some projects include incentive payments.

*Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be provided to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Apply
Submit your CV via the Mindrift platform. Indicate your English level, note this role (Software Engineering Evaluation Specialist - Terminal Bench), and include a GitHub profile link if available.

Apply