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Coding Ai Train Jobs (NOW HIRING)

LiveX AI Inc.

AI Engineer

Palo Alto, CA · On-site

Train and fine‑tune state‑of‑the‑art generative models for talking‑head synthesis ... code), with a track record of shipping deep learning models. * Deep expertise in PyTorch and modern ...

Mistral AI

AI Scientist

New York, NY · On-site

... train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing. The impact of this ...

Fireworks AI

AI Field Engineer - AI Natives

New York, NY · On-site

$200K - $260K/yr

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and ... You ship code, run benchmarks, debug production issues, and architect deployments. But you also ...

Gatik AI

Senior AI Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

... Train. * Performance Optimization: Architect and optimize multi-GPU setups, ensuring efficient ... Infrastructure as Code: Drive the "Everything as Code" philosophy using Terraform and Helm. * Data ...

Gatik AI

Senior AI Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

... Train. * Performance Optimization: Architect and optimize multi-GPU setups, ensuring efficient ... Infrastructure as Code: Drive the "Everything as Code" philosophy using Terraform and Helm. * Data ...

Centurion Consulting Group

AI Engineer

$125K - $150K/yr

Demonstrated expertise in developing solutions using Visual Studio Code, Python, and other ... Train and mentor assigned resources on effective AI utilization, including: o Using AI to develop ...

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Senior Product Manager, Coding

San Francisco, CA · On-site

$149K - $196K/yr

... AI companies to train frontier models. We're hiring a Senior Product Manager, Coding to own the roadmap for one of our frontier data modalities: coding. You'll define what we build, for whom, and on ...

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How much do coding ai train jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for coding ai train in the United States is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $39.90 per hour, depending on experience, location, and employer.

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Infographic showing various Coding Ai Train job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $68,683 per year, or $33 per hour.

AI Engineer

Palo Alto, CA • On-site

LiveX AI Inc.
See more jobs at LiveX AI Inc.external

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Posted 23 days ago

Job description

Job Overview: LiveX AI is building the next generation of realtime, interactive AI avatars—lifelike digital humans that see, listen, and respond with natural speech and expressive motion. We are hiring a strong Machine Learning Engineer to help us train, fine‑tune, and serve the generative models that power these avatars. You will work across the full model lifecycle—from data curation and training of diffusion, video, and multimodal models, to low‑latency inference optimization for live, streaming deployments.

Your work will directly shape how millions of end users experience AI—turning static chatbots into engaging, face‑to‑face digital humans that deliver VIP‑level customer experiences in real time.

Responsibilities:
  • Train and fine‑tune state‑of‑the‑art generative models for talking‑head synthesis, audio‑driven facial animation, and full‑body avatar video (e.g., diffusion models, DiT, 3D Gaussian Splatting, GAN‑based and transformer‑based video generators).
  • Design data pipelines for large‑scale video, audio, and multimodal datasets—including collection, cleaning, labeling, alignment, and augmentation.
  • Optimize models for realtime, low‑latency serving (sub‑200ms end‑to‑end): model distillation, quantization, pruning, caching, streaming inference, and custom CUDA/Triton kernels where needed.
  • Build and maintain the training, evaluation, and deployment infrastructure on GPU clusters (PyTorch, DeepSpeed, FSDP, Ray, Kubernetes).
  • Define and track quality metrics—lip‑sync accuracy, identity preservation, expression naturalness, latency, and throughput—and drive measurable improvements.
  • Collaborate closely with backend, product, and research teams to ship avatar features into production and iterate rapidly based on real user feedback.
  • Stay current with the latest research in generative video, multimodal AI, and neural rendering, and bring novel techniques into our stack.
Qualifications:
  • 3+ years of hands‑on ML engineering experience (or strong research experience with production‑quality code), with a track record of shipping deep learning models.
  • Deep expertise in PyTorch and modern deep learning workflows; comfortable reading, reproducing, and extending research papers.
  • Strong background in one or more of: diffusion models, video generation, generative AI, computer vision, multimodal AI (audio + vision), speech synthesis, or neural rendering.
  • Experience with talking‑head/audio‑driven animation/lip‑sync/digital human systems, or closely related areas (3D Gaussian Splatting, NeRF, face reenactment, avatar synthesis) is a strong plus.
  • Proven ability to optimize models for realtime inference—familiarity with TensorRT, ONNX, Triton Inference Server, CUDA, mixed‑precision, and streaming pipelines.
  • Solid software engineering fundamentals in Python; experience with distributed training on multi‑GPU/multi‑node setups.
  • Comfortable working in ambiguous and rapidly evolving environments, with a proactive, ownership‑driven mindset.
  • Fast learner with a startup mentality, eager to push the frontier of what interactive AI avatars can do.
  • Publications at top venues (NeurIPS, CVPR, ICCV, SIGGRAPH, ICLR, ICML) or notable open‑source contributions are a plus.
What We Offer:
  • A rare opportunity to build realtime interactive avatars at the intersection of generative video, speech, and multimodal AI.
  • Access to substantial GPU compute and a team that ships to real customers.
  • A collaborative, innovative, and dynamic work environment.
  • Competitive salary, equity, and benefits package.
  • Career growth opportunities in a rapidly expanding sector.

LiveX AI is an Equal Opportunity Employer.

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