AI Content Specialist
Alignerr
Mumbai, Maharashtra, India1h agovia LinkedIn
About the Role
Alignerr is partnering with leading AI research labs to build smarter, more technically rigorous AI models.
About the Role
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week (flexible)
Key Responsibilities
- Design Advanced Engineering Problems — Craft challenging, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more.
- Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as gold-standard references for AI training.
- Audit AI-Generated Technical Content — Evaluate AI-produced C/C++, Verilog, and VHDL code along with logic gate designs and OS kernel implementations for correctness, efficiency, and standards compliance.
- Sharpen AI Reasoning — Identify flawed reasoning such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve how models think through hardware and systems problems.
Qualifications
- Holds or is pursuing a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field.
- Deep foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
- Able to communicate complex hardware concepts and low-level software logic clearly and precisely in writing.
- High attention to detail — comfortable working at the level of bit operations, clock cycles, and timing constraints.
- No prior AI or data annotation experience required.
Nice to Have
- Prior experience with data annotation, data quality, or AI evaluation workflows.
- Familiarity with engineering tools such as MATLAB, ANSYS, or hardware simulation environments.
- Hands-on experience with embedded platforms, FPGAs, or real-time systems.