Remote-First Senior AI Systems Evaluator

Innodata Inc.; Philippines; Remote; PHP 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Flexible remote-friendly work环境

Opportunity to shape AI future

Competitive compensation

Job summary

Innodata Inc. seeks a Senior Computing & IT Domain Expert to bridge advanced CS systems and AI. You will evaluate complex visuals, design AI assessment benchmarks, validate model outputs, and ensure the accuracy of computing intelligence.

You will apply expertise in performance engineering, networking, digital hardware design, distributed systems, and HPC to drive rigorous evaluations and high-quality AI solutions across teams.

Qualifications

• Education in CS/CE/EE or related field.
• 3+ years in performance engineering, distributed systems, or HPC.
• Hands-on with flame graphs, trace waterfalls, and roofline plots.
• Experience with AI model evaluation or data annotation is a plus.
• Excellent technical writing and communication skills.

Responsibilities

• Interpret, analyze, and validate complex diagrams, charts, and topology maps.
• Profile and optimize performance using flame graphs and telemetry.
• Design, evaluate, and troubleshoot network topology and routing.
• Interpret digital design and timing diagrams for synchronous hardware verification.
• Analyze distributed systems observability via trace waterfalls and latency measurements.
• Evaluate HPC performance with roofline plots and memory intensity.

Skills

Analytical thinking

Problem solving

Technical communication

Research skills

Digital literacy

Teamwork

Attention to detail

Education

CS/CE/EE degree

Tools

Flame graphs

Trace waterfalls

Roofline plots

AI evaluation frameworks

Performance profiling tools

Job description

Innodata Inc. seeks a Senior Computing & IT Domain Expert to bridge advanced CS systems and AI. You will evaluate complex visuals, design AI assessment benchmarks, validate model outputs, and ensure the accuracy of computing intelligence.

You will apply expertise in performance engineering, networking, digital hardware design, distributed systems, and HPC to drive rigorous evaluations and high-quality AI solutions across teams.