Remote AI Systems Engineering Content Architect

Jalasoft; Comisión de Fomento de Perú; A distancia; ARS 91.725.000 - 137.587.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work (home office)

Descripción de la vacante

Jala University is seeking a content developer for its Master in AI Systems Engineering. You will design module content, labs, a reference implementation, an evaluation harness, and an instructor guide.

A tuned model plus an audit report covering SFT, PEFT/LoRA, DPO/KTO, verifier-driven RL, domain-data preparation, preference optimization, and alignment-auditing methodology will also be produced, along with module content, labs, an evaluation rubric, and an instructor guide.

Formación

• Masters Degree in Computer Science or related.
• 5+ years shipping production software, 2+ years in production AI/ML.
• Production SFT, PEFT and preference-optimization experience on real domain data.
• An alignment-audit track record.
• Comfortable at multi-GPU scale, disciplined about run lineage
• Can build the artifact personally, to production standard.
• Public writing samples showing technical explanation, including docs or open-source/docs
• Reproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters)
• Professional written English

Responsabilidades

• Design module content, labs, a reference implementation, an evaluation harness, and an instructor guide.
• Prepare a tuned model plus an audit report covering SFT/PEFT, DPO/KTO, RL, domain-data prep, and alignment auditing.
• Produce module content, labs, evaluation rubric, and instructor guide.

Conocimientos

Content development

Public writing

English writing

Educación

Masters Degree in Computer Science or related.

Herramientas

Axolotl

Unsloth

PEFT

TRL

Hugging Face Inference Endpoints

Modal

Weights & Biases

OpenRouter

Descripción del empleo

Jala University is seeking a content developer for its Master in AI Systems Engineering. You will design module content, labs, a reference implementation, an evaluation harness, and an instructor guide.

A tuned model plus an audit report covering SFT, PEFT/LoRA, DPO/KTO, verifier-driven RL, domain-data preparation, preference optimization, and alignment-auditing methodology will also be produced, along with module content, labs, an evaluation rubric, and an instructor guide.