Company: Expert talent network

Mercor is partnering with a frontier AI research lab to engage experienced software engineers with deep expertise in legacy codebase migration and modernisation . We are looking for engineers who have personally executed complex migrations across large, production-grade systems , particularly in financial services, fintech/payments, insurance, healthcare, telecom, large technology companies, and other mission-critical enterprises . Strong hands-on experience with production migrations is the primary qualification.

Mercor is hiring experienced News Analysts, Reporters, and Journalists to help evaluate and improve cutting-edge AI systems. In this role, you’ll evaluate AI-generated news content and workflows, leveraging your real-world expertise in reporting, news analysis, and editorial judgment across print and broadcast media. Evaluate AI-generated news stories, analyses, scripts, and other journalistic artifacts for quality and accuracy.

Evaluate the quality, fidelity, and completeness of vulnerability-reproduction and remediation tasks used to train and evaluate a frontier AI lab’s models. You’ll assess whether CVE reproductions are faithful, fixes are sound, verification logic is rigorous, and Docker-based lab environments accurately recreate exploitable conditions — and provide clear, rubric-based written feedback. Basic Qualifications • 3+ years of hands-on experience in application security, penetration testing, or vulnerability research • Strong understanding of CVE vulnerability taxonomy and severity frameworks (CVSS, C

Join a leading AI lab’s cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. Join a leading AI lab’s cutting-edge GenAI team and help build foundational AI models from the ground up. We’re seeking talented Cloud and DevOps Engineers with deep, hands-on expertise in Kubernetes operations, AWS service integration, and Infrastructure-as-Code to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data.

Evaluate the quality, correctness, and completeness of GPU/accelerator kernel development tasks used to train and evaluate a frontier AI lab’s models. You’ll assess numerical correctness, performance-benchmarking fairness, task scoping, and compilation/runtime validity across diverse kernel task types — and provide clear, rubric-based written feedback. Basic Qualifications • 3+ years of hands-on experience developing, optimizing, or verifying GPU/accelerator kernels in at least two of: CUDA, Triton, NKI, or Pallas (JAX) • Strong understanding of numerical-correctness criteria for kernels (abso

Support a high-priority technical-expert panel for a frontier AI lab as an Expert Interviewer. We’re seeking an experienced interviewer to help vet shortlisted engineers across GPU kernel development, security & vulnerability research, and ML-compiler / accelerator domains for an AI model training-and-evaluation engagement. You’ll run short, structured interviews and give our team a clear, evidence-based read on each expert’s fit.

Evaluate the quality, correctness, and hardware-appropriateness of Neuron Kernel Interface (NKI) development tasks used to train and evaluate a frontier AI lab’s models. You’ll assess CUDA→NKI migration fidelity, Trainium-specific performance-optimization quality, and cross-platform numerical-correctness standards — and provide clear, rubric-based written feedback. Basic Qualifications • 2+ years of hands-on experience developing or optimizing kernels using the Neuron Kernel Interface (NKI) targeting AWS Trainium/Inferentia2 hardware • Strong understanding of NKI-specific development patterns:

Mercor is partnering with a leading language-learning platform to recruit experienced Spanish tutors for a short-term project involving recorded, one-on-one tutoring sessions. Tutors will conduct genuine Spanish lessons with native English-speaking learners at different proficiency levels. The goal is to produce natural, high-quality conversations that reflect authentic language-learning experiences.

Evaluate the quality, correctness, and cloud-architecture soundness of AWS serverless and infrastructure-as-code tasks used to train and evaluate a frontier AI lab’s models. You’ll assess multi-service serverless designs, IaC fidelity, and cross-service integration correctness — and provide clear, rubric-based written feedback. Basic Qualifications • 3+ years hands-on experience building multi-service AWS serverless applications (Lambda, API Gateway, DynamoDB/Streams, S3, EventBridge, SNS/SQS, Step Functions) • Strong experience with infrastructure-as-code (AWS CDK, CloudFormation, or SAM) • D

Evaluate the quality, correctness, and production-readiness of Kubernetes tasks used to train and evaluate a frontier AI lab’s models. You’ll assess cluster-operations scenarios, manifest correctness, and failure-mode troubleshooting — and provide clear, rubric-based written feedback. Basic Qualifications • 3+ years hands-on production Kubernetes experience (EKS/GKE/AKS or self-managed) • Deep understanding of cluster internals: CNI/DNS/ingress, PV/PVC storage, RBAC, and failure modes (CrashLoopBackOff, OOMKilled, scheduling/eviction) • Experience authoring and reviewing manifests / Helm chart