Job Title

Head of Artificial IntelligenceAI Data Platform (Voice, Video & Beyond)CompanyHumynlabs.ai- AI Data Ecosystem (humynlabs.ai)LocationBangalore, India (On-site)Role TypeTechnical + Ops Leadership — Heavy ownership, zero hand-holdingExperience10–15+ years in engineering, with strong Voice/Video AI backgroundReports ToFoundersAbout Humynlabs.aiHumynlabs.ai is an AI-first human data intelligence platform powering AI training, evaluation, and data intelligence for the world's leading AI companies. We deploy a verified expert network of 1M+ humans across 60+ countries to deliver high-quality AI data at scale.Humynlabs.ai is a full-spectrum AI data platform. While Voice and Video AI are our primary focus areas, we cater to the complete AI data lifecycle- NLP, computer vision, multimodal AI, Egocentric and telemetric data for Robotics platforms, RLHF across specialized domain data across healthcare, legal, finance, and more. We move fast, build lean, and ship real. If a tool doesn't exist, we stitch one together.The RoleWe are looking for a Head of Engineering who is equal parts deep technologist who can build tools as lego blocks and highly agile work flow integrator leveraging lego blocks to deliver to the varied bespoke requirements coming from researchers of frontier tech labs. This role is heavy on both technical execution and operational ownership - you will be expected to build, integrate, ship, and run.A core superpower for this role: knowing exactly which third-party tools exist across the AI ecosystem and what to build in house Vs how to rapidly stitch 3rd party tools together to deliver predictable TAT and high QC for the data sets shared by HL to the labs. Speed to delivery with high QC is what will grow this business. This is not a manager who delegates. This is a builder who also leads.What You Will DoTechnical LeadershipArchitect and own Humynlabs.ai's end-to-end AI data infrastructure- with Voice and Video AI as primary focus areas, extending across NLP, computer vision, document AI, RLHF, and multimodal data pipelinesLead design decisions on ASR, TTS, speaker diarization, emotion detection, video understanding, and multimodal AI systems as HL is building vertical integrated tech stack in voice to start with. Evaluate, select, and integrate best-in-class third-party APIs and tools across the AI ecosystem- when internal tools are not yet built, stitch the right external tools together to deliverBuild legos, composable pipelines that allow rapid tool-swapping and vendor-agnostic delivery across any AI data verticalOwn the technical roadmap for Humynlabs.ai's annotation tooling, data quality systems, and AI-assisted labeling infrastructureDefine and enforce engineering standards: code quality, system design, latency, reliability, and scalabilityOperational OwnershipOwn end-to-end delivery of AI data projects- from scoping and architecture to deployment and QADrive cross-functional coordination between Data Ops, Product, and Client Success to ensure on-time deliveryBuild runbooks, playbooks, and SOPs for repeatable project execution at scaleManage vendor relationships with third-party AI tool providers- negotiate, integrate, and monitorMonitor production systems, manage incident response, and ensure 99%+ uptime on critical pipelinesTeam & HiringHire, mentor, and grow a lean, high-performance engineering team (ML engineers, backend engineers, data engineers)Establish a culture of ownership, speed, and iterative deliveryPartner with co-founders on engineering strategy and roadmapWhat We Are Looking ForMust-Have Experience12–18+ years of software engineering experience, with demonstrated leadership in a senior engineering role (CTO, Head of Engineering, VP Engineering, or equivalent)Deep hands-on expertise in Voice AI (primary): ASR, TTS, NLU, speaker diarization, voice cloning, accent/emotion recognitionSolid experience in Video AI (primary): video transcription, scene understanding, facial analysis, lip-sync, or video annotation pipelinesWorking knowledge across broader AI data domains - NLP/text annotation, computer vision, document AI, RLHF, or multimodal datasetsStrong knowledge of the external Voice/Video AI tool ecosystem — you know AssemblyAI vs Deepgram vs Whisper vs Azure Speech and can pick the right one for the right use case in minutesAbility to extend the same 'tool-stitching' mindset beyond Voice/Video into any AI data vertical Humynlabs.ai servesExperience building human-in-the-loop (HITL) pipelines and annotation platforms at scaleProven track record of shipping production AI systems, not just research or prototypesFounding or early-stage startup experience — you have built something from scratchEcosystem & Tool FluencyYou should have working familiarity with most of the tools below. The ideal candidate knows these like the back of their hand:CategoryTools & PlatformsASR / STTDeepgram, AssemblyAI, OpenAI Whisper, Azure Speech, Google STT, AWS Transcribe, Rev.aiTTS / Voice SynthesisElevenLabs, PlayHT, Murf, Azure Neural TTS, Google WaveNet, Resemble.ai, BarkVoice AnalyticsSymbl.ai, Dolby.io, Hume AI, Sybil, Vocalize.ioVideo AITwelve Labs, Google Video AI, AWS Rekognition, Runway, Pika Labs, Captions.ai, DescriptNLP / Text AIHugging Face, spaCy, John Snow Labs, AWS Comprehend, Google NL APIComputer VisionRoboflow, AWS Rekognition, Google Vision AI, Azure CV, ClarifaiDocument AIAWS Textract, Google Document AI, Azure Form Recognizer, Reducto, LlamaParseAnnotation & HITLScale AI, Labelbox, Appen, Surge AI, Snorkel AI, Prodigy, CVATLLM / RLHFOpenAI, Anthropic Claude, Cohere, Mistral, LLaMA, LangChain, LlamaIndexOrchestrationAirflow, Prefect, Metaflow, Ray, Modal, BentoMLInfra & CloudAWS, GCP, Azure, Docker, Kubernetes, TerraformLeadership & Ops ProfileYou have run engineering operations, not just written code - project planning, vendor management, SLA tracking, and team deliveryComfortable working directly with clients and business stakeholders to scope technical solutionsStrong bias for execution over process — you ship first, optimize secondExcellent written and verbal communication — you can explain architecture to a CEO and code to an engineer in the same dayNice to HaveExperience with multilingual/Indic language AI models (Sarvam, AI4Bharat, Dhruva)Familiarity with Web3 infrastructure, on-chain identity, or tokenized incentive systemsPrior experience building data marketplaces or expert network platformsOpen-source contributions in Speech/NLP/Audio MLWhy Humynlabs.ai