Read our client stories to see how we deliver

AI SAFETY & ALIGNMENT

Getting AI ready
for the real world

The difference between AI risk and AI resilience is safety and alignment. We provide the expert human oversight to evaluate, validate and harden systems at scale, so models behave as intended and can withstand emerging threats.

AI-Safety Expert

multiline_chart
How We Help

Continuous AI assurance

Every update, integration and new usage pattern changes the model after launch. What’s safe on day one doesn’t stay safe on its own. We deliver ongoing performance management across foundation and frontier models, multimodalities, agentic AI, autonomous vehicles and robotics.

Rick Balzano
accessibility
Meet Our People

Rick Balzano

VP, Sales Enablement – AI Safety

Rick has 8+ years of experience in enterprise tech, specializing in scaling LLM training services and advancing AI safety frameworks for global organizations.

AI SERVICES

Model safety at every layer

auto_graph

Training data quality

We curate diverse, high-quality datasets that reduce bias and improve model precision for reliable AI outputs.

auto_mode

Human-in-the-loop oversight

Expert annotators guide AI behavior through reinforcement learning and continuous feedback to align with human values.

bug_report

Multimodal red teaming

Red teams stress-test AI systems with adversarial prompts and edge cases to identify vulnerabilities before launch and test how models behave under pressure and unexpected conditions.

sensors

Real-time monitoring

We design escalation paths, monitoring workflows and human-in-the-loop (HITL) systems to catch and correct harmful or unintended actions.

monitoring

Clinical AI auditing

We identify multimodal vulnerabilities early and embed safeguards to prevent misuse, bias and downstream risks throughout the model lifecycle.

task_alt

Trustworthy AI
agent deployment

We implement safeguards for autonomous AI agents, ensuring reliable decision-making with appropriate human oversight.

EXPERT TAKE

3 ways AI fails mental health and how to make models safer

Many people turn to chatbots for emotional support, but standard LLMs can’t recognize a brewing mental health crisis. Left unchecked, they could give a false sense of comfort and even lead to self-harm.

In a Fast Company article, TaskUs Trust & Safety leaders explain that platforms are responsible for their tool’s behavior and recommend a clinically grounded strategy to engineer trustworthy AI.

accessibility
Meet Our People

Matthew Smith

Director, Strategic Growth

Matthew is a tech veteran with 7+ years in GenAI, specializing in helping enterprises safely deploy high-impact solutions.

Rachel Lutz Guevara
accessibility
Meet Our People

Rachel Lutz‑Guevara

DVP, Trust & Safety

Rachel is a licensed mental health professional, leading global Trust & Safety operations, innovation and employee psychological health.

Connect with a TaskUs Expert