SLM Trainer

Jobtailor; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Jobtailor is seeking a mid-level ML engineer to train and fine-tune Small Language Models for production systems. You’ll own evaluation, monitoring, and governance tasks, working with Claude Code, Postgres, and Rust, and documenting results for non-technical stakeholders.

You’ll collaborate with a junior developer, manage your own workstream in Jira, contribute to the GitHub codebase, and proactively flag risks related to model behavior, data handling, and security.

Qualifications

• Hands-on experience training and fine-tuning SLMs for production systems.
• Strong understanding of evaluation, monitoring, and regression testing.
• Familiarity with agentic AI systems and SLM usage.
• Data governance, access controls, and versioning knowledge.
• Proficient in Python and ML tooling.

Responsibilities

• Train, fine-tune, and improve SLMs under senior lead.
• Build evaluation and regression-test suites to catch drift.
• Monitor live model behavior in production and triage incidents.
• Curate and manage training/evaluation datasets per governance.
• Document model versions, decisions, results, and limitations.
• Collaborate with junior developer on the pod to keep docs/test coverage.
• Manage your own workstream via Jira and contribute to GitHub codebase.
• Flag risks around model behavior, bias, or data handling promptly.

Skills

Small Language Model Training

Model Evaluation & Monitoring

Data Handling & Governance

Python Programming

Independent Judgment

Tools

Claude Code

Postgres

Rust

Jira

GitHub

Job description

• Train, fine-tune, and continuously improve the product's Small Language Models (SLMs) under the direction of the Senior Agentic AI Lead
• Build and maintain evaluation and regression-test suites to catch model drift or degraded performance before it reaches production
• Monitor live model behavior in production, triage anomalies, and elevate incidents appropriately
• Curate, clean, and manage training and evaluation datasets in line with governance and data-handling standards
• Work within the Claude Code, Postgres, and Rust stack to support model integration and testing
• Document model versions, training decisions, evaluation results, and known limitations
• Collaborate closely with the junior developer on the pod to keep documentation and test coverage current
• Manage your own workstream through Jira and contribute to the shared GitHub codebase
• Flag risks around model behavior, bias, or data handling to the Senior Agentic AI Lead promptly

Requirements

• Hands-on experience training and fine-tuning Small Language Models (SLMs) for a live, production system - not just experimentation or prototype work
• Solid understanding of model evaluation, monitoring, and regression-testing practices
• Familiarity with agentic AI systems and how SLMs are used within them
• Working knowledge of data handling and governance practices - access controls, data quality, versioning
• Comfortable with Python and standard ML/data tooling
• Some exposure to Claude Code, Postgres, or Rust (or a clear ability to ramp up quickly)
• Security-conscious approach to model training and data handling
• Strong documentation habits and clear written communication - able to explain model behavior to non-technical stakeholders
• Familiarity with GitHub and Jira
• Mid-level experience - enough independent judgment to own a workstream day-to-day, without requiring full architectural ownership
• Comfortable taking direction from a senior lead while flagging issues and risks proactively

Core Competencies

Demonstrates expertise in training and fine-tuning Small Language Models (SLMs) for production systems, with a strong focus on model evaluation, monitoring, and data governance practices. Proficient in Python and familiar with tools like Claude Code, Postgres, and Rust, while maintaining clear documentation and effective communication with stakeholders.

Highest-signal resume keywords

• Small Language Model Training
• Model Evaluation and Monitoring
• Data Handling and Governance
• Python Programming
• GitHub and Jira Familiarity

Hard Skills

• Small Language Model Training
• Model Evaluation
• Regression Testing
• Data Handling
• Python Programming
• Model Monitoring
• Documentation
• Data Quality
• Versioning
• Agentic AI Systems

Soft Skills

• Clear Written Communication
• Proactive Risk Flagging
• Independent Judgment

Industry Keywords

• Model Drift
• Data Governance Standards
• Evaluation Datasets
• Training Datasets
• Security-Conscious Approach

Tools & Technologies

• Claude Code
• Postgres
• Rust
• Jira
• GitHub