Top Tech Jobs & Startup Jobs

Evaluate AI-generated video upscales frame-by-frame to detect artifacts and temporal issues, help define quality benchmarks, create reference sets, provide structured feedback, and collaborate with research teams to improve visual AI evaluation methods.

Provide expert legal review and create realistic scenarios for training AI on US finance transactions, including private equity, cross-border M&A, LBOs, fund formation, regulatory filings, and deal structuring. Work 40 hours/week as an independent contractor, complete a resume screen and short assessment, and produce high-quality training data to support future project selection.

Part-time consultant evaluates and defines standards for AI-driven performance transfer, curates benchmark content, designs human evaluation frameworks, and collaborates with creative and technical teams to improve fidelity of AI-generated acting and animation.

Lead and scale an outbound SDR organization for a B2B SaaS company: build processes, coach SDRs, design multi-channel outreach and ABM programs, drive event-driven pipeline, partner with marketing and sales, monitor KPIs, and execute hands-on prospecting to generate predictable revenue.

Senior-level network engineer responsible for Tier-3 support, diagnosing outages, dissecting packet captures, labeling and analyzing network data, scripting tools to process/clean data, and defining schemas for large-scale data pipelines to support ML systems.

Contribute data science and statistical expertise to design analytical challenges, create high-quality training data, evaluate AI-generated solutions, build evaluation frameworks, and collaborate with researchers to improve LLM quantitative reasoning and model performance.

Perform L3 network troubleshooting and RCA on production enterprise networks, review telemetry/logs/configs, label and annotate network behaviors for ML training, and help define schemas and data pipelines to support AI-driven infrastructure.

Contribute to generative AI model training and evaluation by designing and solving ML infrastructure and systems challenges. Build and optimize distributed training, custom GPU kernels, evaluation frameworks, and provide technical reviews and feedback to improve training data and model capabilities.

Contract GPU kernel optimization role: analyze profiler metrics, identify bottlenecks, and improve kernel performance across modern GPU hardware. Implement and modify C++17, Python, and GPU code using CUDA/HIP/shaders, document optimization decisions, and collaborate as a freelance specialist (20+ hrs/week preferred).

Provide PhD-level physics subject-matter expertise to create difficult, high-quality physics problems for LLM training. Contribute 4–6 multi-hour tasks weekly, follow complex instructions, complete a short AI screening, and work remotely as an independent contractor on an ongoing project.