Project Based Recruitment | LLM Trainer - Agent Function Call | $12-30/Hour | Remote

engineeringjobs.net, Inc.; Call (TX); Remote; USD 70,000 - 110,000; Full time

Job summary

engineeringjobs.net, Inc. seeks candidates with at least three years in a technical or analytical role and outstanding logical reasoning. You will work with APIs, JSON, and data formats to design and evaluate multi-turn AI workflows.

Proficiency in Python, Java, or JavaScript is desirable for implementing function-based tasks and delivering high-quality conversational experiences. Strong written English, attention to detail, and the ability to break down complex tasks are essential.

Qualifications

• Three years of professional experience in a technical or analytical field.
• Strong logical reasoning and meticulous attention to detail.
• Excellent written English and familiarity with APIs, JSON, data formats, and function-based workflows.
• Programming experience in Python, Java, or JavaScript.

Skills

Logical Reasoning

Attention To Detail

Technical Communication

API Knowledge

JSON

Data Formats

Function-Based Workflows

Python

Java

JavaScript

Conversational Design

Task Evaluation

Contextual Understanding

Tools

APIs

Job description

Create realistic multi-turn conversations between users and AI assistants, including tool calls for workflows involving calendars, email, maps, and cloud storage. Evaluate logical flow, function usage, task completion, and response quality, and revise examples based on feedback.

Requirements:

Candidates need at least three years of professional experience in a technical or analytical field, strong logical reasoning, attention to detail, and the ability to break down complex tasks. Excellent written English and familiarity with APIs, JSON, data formats, and function-based workflows are required; programming experience in Python, Java, or JavaScript is relevant.

Key Skills:

Logical Reasoning, Attention To Detail, Technical Communication, API Knowledge, JSON, Data Formats, Function-Based Workflows, Python, Java, JavaScript, Conversational Design, Task Evaluation, Contextual Understanding