Empat

If you’ve shipped 2D games with Solar2D (Corona SDK) and Lua, here’s a chance to turn that experience into flexible, well-paid remote work. You’ll join an AI training project for a global AI company, completing real 2D game development tasks in Solar2D and walking through your workflow step by step, so AI systems learn how game development is actually done. Fully remote, flexible hours, paid by the hour.

Your responsibilities will include:

• Create and modify 2D games using Solar2D (Corona SDK).
• Work with Lua scripting, game mechanics, animations, and UI elements.
• Develop and improve player controls, physics, and collision detection.
• Debug issues and optimize game performance.
• Complete advanced Solar2D tasks and explain your workflow step by step.

• Write clear instructions and detailed prompts for game development tasks.

   

What we expect from you:

• Strong hands-on experience with Solar2D (Corona SDK).
• Good knowledge of Lua programming and 2D game development.
• Experience with game mechanics, animations, and debugging.
• Access to Solar2D and comfort recording your screen while you work.
• English at B2 level or higher.

• Ability to explain technical workflows clearly.

   

Nice to Have:

• A portfolio of Solar2D or 2D game development projects.
• Experience developing mobile games for Android or iOS.
• A relevant master’s degree or PhD.

• Previous AI data experience (data annotation, RLHF, or AI model evaluation) is a plus, but not required.

   

What we offer:

• Hourly pay for real, hands-on game development work.
• Fully remote work with a flexible schedule: you choose when you work.
• A chance to shape how next-generation AI understands game development.
• A short, simple selection process with a fast start.

If you build 2D games in Defold and love explaining how you work, this is a rare chance to get paid for exactly that. You’ll join a remote AI training project for a global AI company, completing real game development tasks in Defold and walking through your workflow step by step, so AI systems learn how game development is actually done. Fully remote, flexible hours, paid by the hour.

Your responsibilities will include:

• Develop and modify 2D games using the Defold game engine.
• Work with Lua scripting, game objects, components, and animations.
• Create and improve game mechanics, player controls, and UI elements.
• Debug issues and optimize game performance.
• Complete advanced game development tasks and explain your workflow step by step.

• Write clear instructions and detailed prompts for game development tasks.

   

What we expect from you:

• Strong professional, hands-on experience with the Defold game engine.
• Hands-on experience with Lua scripting and 2D game development.
• Good understanding of Defold game objects, components, animations, and game logic.
• Access to Defold and comfort recording your screen while you work.
• English at B2 level or higher.

• Ability to explain technical workflows clearly.

   

Nice to Have:

• A portfolio of completed 2D games or Defold projects.
• A relevant master’s degree or PhD.

• Previous AI data experience (data annotation, RLHF, or AI model evaluation) is a plus, but not required.

   

What we offer:

• Hourly pay for real, hands-on game development work.
• Fully remote work with a flexible schedule: you choose when you work.
• A chance to shape how next-generation AI understands game development.
• A short, simple selection process with a fast start.

If you design and simulate circuits in Qucs-S and can explain your reasoning as clearly as you build, this role puts that skill to work. You’ll join a remote AI training project for a global AI company, solving real circuit design and simulation tasks in Qucs-S and walking through your workflow step by step, so AI systems learn how electronics engineers actually work. Fully remote, flexible hours, paid by the hour.

Your responsibilities will include:

• Design and simulate electronic circuits using Qucs-S.
• Work with analog, digital, and mixed-signal circuits.
• Run circuit analysis, including AC, DC, and transient simulations.
• Troubleshoot circuit issues and improve circuit performance.
• Complete advanced Qucs-S tasks and explain your workflow step by step.

• Write clear instructions and detailed prompts for circuit simulation tasks.

   

What we expect from you:

• Strong professional, hands-on experience with Qucs-S.
• Hands-on experience with electronic circuit design and simulation.
• Good understanding of SPICE simulation, circuit analysis, and electronic components.
• Experience troubleshooting circuits and analyzing simulation results.
• Access to Qucs-S and comfort recording your screen while you work.
• English at B2 level or higher.

• Ability to explain technical workflows clearly.

   

Nice to Have:

• A master’s degree or PhD in Electrical or Electronics Engineering.
• Experience with other circuit simulation or EDA tools.
• Professional experience in electronics or hardware engineering.

• Previous AI data experience (data annotation, RLHF, or AI model evaluation) is a plus, but not required

   

What we offer:

• Hourly pay for real, hands-on engineering work.
• Fully remote work with a flexible schedule: you choose when you work.
• A chance to shape how next-generation AI understands electronics engineering.
• A short, simple selection process with a fast start.

If you design and simulate circuits in Qucs-S and can explain your reasoning as clearly as you build, this role puts that skill to work. You’ll join a remote AI training project for a global AI company, solving real circuit design and simulation tasks in Qucs-S and walking through your workflow step by step, so AI systems learn how electronics engineers actually work. Fully remote, flexible hours, paid by the hour.

Your responsibilities will include:

• Design and simulate electronic circuits using Qucs-S.
• Work with analog, digital, and mixed-signal circuits.
• Run circuit analysis, including AC, DC, and transient simulations.
• Troubleshoot circuit issues and improve circuit performance.
• Complete advanced Qucs-S tasks and explain your workflow step by step.

• Write clear instructions and detailed prompts for circuit simulation tasks.

   

What we expect from you:

• Strong professional, hands-on experience with Qucs-S.
• Hands-on experience with electronic circuit design and simulation.
• Good understanding of SPICE simulation, circuit analysis, and electronic components.
• Experience troubleshooting circuits and analyzing simulation results.
• Access to Qucs-S and comfort recording your screen while you work.
• English at B2 level or higher.

• Ability to explain technical workflows clearly.

   

Nice to Have:

• A master’s degree or PhD in Electrical or Electronics Engineering.
• Experience with other circuit simulation or EDA tools.
• Professional experience in electronics or hardware engineering.

• Previous AI data experience (data annotation, RLHF, or AI model evaluation) is a plus, but not required.

   

What we offer:

• Hourly pay for real, hands-on engineering work.
• Fully remote work with a flexible schedule: you choose when you work.
• A chance to shape how next-generation AI understands electronics engineering.
• A short, simple selection process with a fast start.

If you design mechanical parts and assemblies in SolidWorks every day, this remote role pays you to do what you know best and explain how you do it. You’ll join an AI training project for a global AI company, completing real mechanical design tasks in SolidWorks and walking through your process step by step, so AI systems learn how engineers actually design. Fully remote, flexible hours, paid by the hour.

Your responsibilities will include:

• Create and edit 3D CAD models of mechanical parts and assemblies.
• Work with parametric modeling, sketches, constraints, and feature trees.
• Develop and modify mechanical designs based on technical requirements.
• Review CAD models for dimensions, tolerances, and manufacturing accuracy.
• Complete advanced CAD tasks and explain your workflow step by step.

• Write clear instructions and detailed prompts for mechanical design tasks.

   

What we expect from you:

• Strong professional, hands-on experience with SolidWorks.
• Hands-on experience with 3D parametric CAD modeling and assemblies.
• Good understanding of mechanical design, GD&T, and manufacturing processes.
• Access to SolidWorks and comfort recording your screen while you work.
• English at B2 level or higher.

• Ability to explain technical workflows clearly.

   

Nice to Have:

• Experience with FreeCAD, Fusion 360, or Autodesk Inventor.
• A master’s degree or PhD in Mechanical Engineering or a related field.
• Experience with CNC machining, sheet metal, injection molding, or reverse engineering.

• Previous AI data experience (data annotation, RLHF, or AI model evaluation) is a plus, but not required.

   

What we offer:

• Hourly pay for real, hands-on engineering work.
• Fully remote work with a flexible schedule: you choose when you work.
• A chance to shape how next-generation AI understands mechanical design.
• A short, simple selection process with a fast start.

We are looking for a Senior Java Engineer to join the Access & Authorization platform full-time. This is protocol-level, performance-critical systems work — you will be building the mandatory enforcement sidecar for the ABAC platform: a per-pod, request-path component that performs authorization checks at the level of tenant, endpoint, row, and field. This is not CRUD or framework work — we are looking for a systems engineer, not a typical enterprise Java developer.

Your responsibilities will include:

• Build and own the ABAC enforcement sidecar — a performance-critical component sitting in the request path of all services
• Implement four-layer authorization checks: tenant isolation, endpoint access, row-level filtering, and field-masking
• Stream and rewrite JSON response bodies at the token level with near-zero allocation overhead
• Maintain a local decision cache and integrate with a central Decision API
• Own the HTTP layer end-to-end — including conformance, edge cases, and adversarial scenarios
• Ensure fail-closed semantics — the component must deny by default when the policy engine is unavailable
• Write adversarial tests: malformed requests, mid-stream drops, slow clients, header edge cases

What we expect from you:

• Java 21+ without a framework — vanilla Java only; Spring or DI dependency is a disqualifier for this role
• GraalVM native image shipped to production — not experimented with; understands closed-world constraints, reflection config, build-time vs run-time init
• HTTP protocol internals — can implement and reason at spec level: chunked transfer, keep-alive, streaming without buffering full bodies, backpressure, connection handling
• Jackson streaming API (JsonParser/JsonGenerator) — token-level processing, not databind; able to apply field-masks with flat allocation
• Performance engineering with real numbers — has owned a latency SLA (p99, percentiles, RPS); measures before tuning using JMH, async-profiler, allocation profiling
• Caching and invalidation reasoning — understands the decision-cache triangle: hit latency vs revocation latency vs TTL, negative caching, stampede protection
• AuthZ fundamentals and fail-closed semantics — understands PDP/PEP separation, deny-overrides, tenant isolation; knows the sidecar applies decisions, not computes policy
• Minimal-dependency mindset — solves with the JDK first; can articulate the real cost of adding a library in a native-image context

Will be a plus:

• Netty — used at the channel/pipeline level
• Service mesh / sidecar patterns — Envoy, ext_authz, Istio, Dapr
• Authorization engines — OPA/Rego, Cedar, Zanzibar-style systems, Oso
• GCP stack — Pub/Sub, Memorystore/Redis, BigQuery
• Kubernetes — sidecar injection, resource limits, probes, startup ordering
• gRPC / protobuf over HTTP
• Experience in regulated-data domains — FERPA, COPPA, HIPAA, or similar
• jlink / AppCDS / CRaC — JVM-fallback literacy if native image is constrained

Soft skills / Mindset:

• Systems thinker — reads RFCs, owns the protocol layer, does not treat HTTP as “what the framework handles”
• Measurement discipline — quotes numbers, not vibes; profiles before tuning
• Dependency-conscious — resists the reflex to add a library; accounts for native-image surface and supply-chain cost
• Fail-closed by instinct — treats fail-open as a security consequence, not an availability trade-off
• Upper-Intermediate+ English level

What We Offer:

• Work at a Top-employer company (according to DOU 2025)
• A strong culture built on empathy, trust, openness, and real care for employees
• Competitive compensation with regular reviews
• Medical insurance
• Team events and regular team-building activities
• Flexible hybrid work model with an office in central Kyiv or fully remote