Technical Lead

AI Trainer Jobs; United States; Remote; USD 69,000 - 165,000; Part time

Job summary

AI Trainer Jobs is seeking a Technical Lead contractor for a remote role focused on evaluating AI outputs across senior operations workflows. You will review tone, escalation logic, and stakeholder fit using a structured rubric and document actionable next steps for the modeling team.

Experience in technical lead operations and familiarity with enterprise workflow tooling are required, with bilingual capabilities a plus for cross-region collaboration.

Qualifications

• Direct experience with Technical Lead operations in real teams.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning naming the policy/workflow used.
• Attention to detail and ability to flag prompt issues.
• Reliable asynchronous availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current technical lead specialist operations workflows, playbooks, and firm policy for Technical Lead assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.

Skills

C#

C++

.NET

Node.js

PHP

Python

React

Job description

Technical Lead is a remote review track for evaluating AI outputs across technical lead specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Category: Enterprise Workflow & Tool Use · Pay: $50–$120 / hr · Location: Remote — US-eligible · Contractor

Technical Lead is a remote review track for evaluating AI outputs across technical lead specialist operations workflows.

Role details

About the role

Technical Lead is a remote review track for evaluating AI outputs across technical lead specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.
Technical Lead specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide whether a task actually gets done.
Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill.

Responsibilities

• Review AI outputs against current technical lead specialist operations workflows, playbooks, and firm policy for Technical Lead assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.

What you should bring

• Direct working experience in technical lead specialist operations on real teams for Technical Lead work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Role signals

Example tasks

• Grade a model's response to a real technical lead specialist operations ticket and rate workflow, tone, and escalation.
• Flag a missed escalation with the right severity tag and corrected next step.
• Adjudicate a disputed playbook call between two reviewers using firm guidance.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• Prior experience training, calibrating, or QA-ing operations teams.
• Familiarity with AI-assisted workflow tooling and its failure modes.
• Bilingual experience for cross-region operations.

Compensation and schedule

$50–$120 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Technical Lead specialist operations
• C#
• C++
• .NET
• Node.js
• PHP
• Python
• React

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.