Remote AI Research Engineer — Agentic Post-training

Alignerr Corp.; Santa Fe Capital; Remote; ARS 182,310,000 - 273,465,000; Full time

Benefits offered by this job

Remote work

Job summary

Tether is hiring an AI Research Engineer (Agentic Post-training) for a 100% remote worldwide role. Join the AI model team to drive post-training innovations, focusing on agentic behaviors, tool use, and edge-device deployments.

Work spans streamlined agents to multimodal architectures, with emphasis on self-correction and reliable tool invocation. You will curate data, sharpen model performance, and push toward SOTA results through distributed training, rigorous evaluation, and cross-functional

Qualifications

• Degree in Computer Science or Machine Learning; MS/PhD preferred.
• Experience with multimodal post-training workflows and data pipelines.
• Hands-on experience with distributed training frameworks (multi-node GPU).
• Proven open-source contributions related to agentic systems.
• Publications at leading AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, ECCV).

Responsibilities

• Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results.
• Drive cross-cutting model improvements, including factuality, instruction adherence, tool use, multi-agent coordination, and reasoning calibration.
• Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure.
• Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment.
• Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training.
• Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models.
• Liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases.

Skills

Agentic AI

Tool use

Multimodal

RLHF

Education

MS/PhD preferred

CS/ML degree

Tools

GitHub

HuggingFace

Job description

Tether is hiring an AI Research Engineer (Agentic Post-training) for a 100% remote worldwide role. Join the AI model team to drive post-training innovations, focusing on agentic behaviors, tool use, and edge-device deployments.

Work spans streamlined agents to multimodal architectures, with emphasis on self-correction and reliable tool invocation. You will curate data, sharpen model performance, and push toward SOTA results through distributed training, rigorous evaluation, and cross-functional