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Toy Tester Jobs (NOW HIRING)

Must pass pre-employment drug test, which includes testing for marijuana Physical & Mental ... toy haulers, tent trailers and pickup campers. With three generations of the Curtis family and a ...

Are you a kid at heart looking to build a career with a leading global children's toy ... Coordinate internal and third-party testing activities to support development milestones and ...

Are you a kid at heart looking to build a career with a leading global children's toy ... Coordinate internal and third-party testing activities to support development milestones and ...

Analyze and debug failure modes from both simulation and real-world testing Full-Body Control ... Solve real-world robustness problems, not toy simulations * Collaborate closely with hardware and ...

Analyze and debug failure modes from both simulation and real-world testing Full-Body Control ... Solve real-world robustness problems, not toy simulations * Collaborate closely with hardware and ...

Mattel, Inc. is a leading global toy and family entertainment company, and they are seeking a Lead ... testing, causal inference, and predictive modeling • Strong problem solving skills with the ...

Forklift Driver

Phoenix, AZ

$16 - $19/hr

RV's (recreation vehicles) are motorhomes, fifth wheels, travel trailers, toy haulers and folding ... testing for you to become a Nationally Certified RV Technician - We are a BBB A+ rated and have ...

Forklift Driver

Phoenix, AZ

$16 - $19/hr

RV's (recreation vehicles) are motorhomes, fifth wheels, travel trailers, toy haulers and folding ... testing for you to become a Nationally Certified RV Technician - We are a BBB A+ rated and have ...

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Toy Tester information

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$11

$47

$69

How much do toy tester jobs pay per hour?

As of May 31, 2026, the average hourly pay for toy tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

What is a Toy Tester job?

A Toy Tester evaluates toys for fun, safety, durability, and overall appeal before they reach the market. Testers may be children or adults who assess factors like ease of use, engagement, and compliance with safety standards. Companies use their feedback to improve toy designs and ensure they meet consumer expectations. Some Toy Testers work as part of a focus group, while others test products individually at home or in a controlled environment.

What are the key skills and qualifications needed to thrive in the Toy Tester position, and why are they important?

To thrive as a Toy Tester, you need an eye for detail, creativity, observational skills, and a good understanding of safety standards related to toys and children's products. Familiarity with product testing processes and reporting tools, as well as knowledge of relevant safety certifications like ASTM or EN71, can be beneficial. Strong communication, patience, and the ability to provide constructive feedback help set exceptional candidates apart. These skills ensure that toys are both engaging and safe, meeting all quality standards and user expectations.

What does a typical day look like for a Toy Tester?

A typical day for a Toy Tester involves thoroughly examining and playing with new or prototype toys, evaluating factors such as functionality, safety, appeal, and durability. You’ll document and report your observations, sometimes collaborating with design and engineering teams to provide constructive feedback for improvements. Depending on the employer, you may also participate in group testing sessions or work with children to observe their interactions with the toys. This hands-on and collaborative work environment requires adaptability and keen attention to detail, making each day dynamic and rewarding.
What cities are hiring for Toy Tester jobs? Cities with the most Toy Tester job openings:
What are the most commonly searched types of Toy Tester jobs? The most popular types of Toy Tester jobs are:
What states have the most Toy Tester jobs? States with the most job openings for Toy Tester jobs include:
What job categories do people searching Toy Tester jobs look for? The top searched job categories for Toy Tester jobs are:
Infographic showing various Toy Tester job openings in the United States as of May 2026, with employment types broken down into 47% Full Time, and 53% Part Time. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $98,889 per year, or $47.5 per hour.
Gen AI Leads/Architect

Gen AI Leads/Architect

Inficare Technologies

New York, NY • On-site

Full-time

Posted 27 days ago


Job description

Job Title: Gen AI Leads/Architect
Location: NYC, NY
Rate: Keep it as low as possible
Job Description :
Key Responsibilities
Delivery & Architecture
  • Own end-to-end delivery of AI-native programs - from architecture through production deployment
  • Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent
  • Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets
  • Define agent topology: tool routing, memory strategy, state machines, fallback handling

Agentic Coding & Development
  • Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools
  • Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it
  • Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use
  • Debug non-deterministic agent outputs systematically - not by gut feel

Client & Stakeholder Engagement
  • Translate business problems into agent architectures for global CXO-level stakeholders
  • Run discovery workshops, solution reviews, and delivery cadences with client teams
  • Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end

Team & Practice
  • Mentor junior AI engineers; raise AI engineering quality across the delivery team
  • Stay current: evaluate new models, frameworks, and tooling before the hype catches up
  • Contribute to internal knowledge bases, reusable frameworks, and accelerators

Skills
Agent Orchestration
LangChain, LangGraph, CrewAI - not just conceptual
Agentic Coding Tools
Claude Code CLI, Cursor, OpenAI Codex, Copilot
RAG & Vector Stores
Chroma, Weaviate, Pinecone - knows where RAG breaks
LLM APIs & SDKs
Anthropic, OpenAI, Gemini - prompt design, tool use
Python / TypeScript
Primary languages for agent + backend development
LangSmith / Observability
Tracing, evaluation, debugging agent runs
Cloud Platforms
Azure, AWS, GCP (at least one) - deployment, infra, managed services
API & System Integration
REST, gRPC, Kafka - enterprise integration patterns
MCP / Shared Context
Model Context Protocol, CLAUDE.md, Beads
Agent Evaluation
Testing non-deterministic outputs, guardrails, evals
CI/CD & DevOps
Git, containers, pipelines - agents need to ship
Client Communication
Can present architecture to a CXO without jargon
What You Must Have Actually Done
Not just what you know. What you have shipped.
  • Deployed 2-3 agent-based systems in production - stateful, multi-step, real users
  • Used LangGraph for multi-agent orchestration with memory, tool routing, and state management
  • Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code
  • Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation
  • Integrated agents with real enterprise APIs - not just OpenAI playground or sample data
  • Debugged a production agent failure - and fixed it without blaming the model
  • Can articulate when NOT to use agents - that is how we know you have built things

Bonus - Real Differentiators
  • Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows)
  • Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale
  • Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling
  • QA/testing mindset for agents - systematic evaluation of non-deterministic outputs
  • Background in IT services or consulting - managing client expectations while building
  • Experience with SLMs, fine-tuning, or on-device/edge agent deployment

What We Are Not Looking For
  • Someone who lists LLMs on a resume but has only called the API in a Jupyter notebook
  • AI enthusiasts whose hands-on experience is less than a year old
  • People who explain everything in terms of frameworks they have never deployed
  • Consultants who can only narrate what others have built