Mercor

Artificial Intelligence

• Red-team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Generate human data by annotating failures, classifying vulnerabilities, and flagging systemic risks
• Apply taxonomies, benchmarks, and playbooks to maintain consistent testing
• Produce reproducible reports, datasets, and attack cases for customers
• Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
• Uncover vulnerabilities automated tests miss
• Expand evaluation coverage and reduce production surprises
• Help Mercor customers improve the safety, robustness, and trustworthiness of their AI systems

AI Safety Experts – English, Marathi

• Red-team conversational AI models and agents through jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Generate human data by annotating failures, classifying vulnerabilities, and flagging systemic risks
• Apply taxonomies, benchmarks, and playbooks to maintain consistent testing
• Produce reproducible reports, datasets, and attack cases for customers
• Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
• Help expand evaluation coverage and strengthen customer AI systems

AI Safety Expert – English, Bengali

Full-stack Engineer

• Review browser-based testing workflows for AI-generated web applications
• Assess whether browser interactions are technically feasible and reliable
• Validate test isolation, fixtures, setup, and execution flow
• Ensure assertions produce deterministic, unambiguous pass/fail results
• Identify flaky tests, hidden dependencies, or ambiguous validation logic
• Provide structured technical feedback following project review rubrics
• Contribute to the development of AI systems by ensuring browser-based evaluation workflows are technically robust and reliable
• Review realistic web application testing scenarios involving automation, test design, and software quality engineering
• Collaborate with a high-calibre team helping establish quality standards for AI-generated software evaluation

QA / Software Engineering Reviewer – Browser Test Validation

• Red-team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Annotate failures, classify vulnerabilities, and flag systemic risks
• Apply taxonomies, benchmarks, and playbooks to keep testing consistent
• Produce reproducible reports, datasets, and attack cases
• Review AI outputs involving sensitive topics such as bias, misinformation, or harmful behaviors
• Uncover vulnerabilities automated tests miss
• Expand evaluation coverage and reduce production surprises
• Strengthen customer AI systems through human data-driven red teaming

AI Safety Expert, English, Punjabi

• Red-team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
• Annotate failures, classify vulnerabilities, and flag systemic risks
• Apply taxonomies, benchmarks, and playbooks to maintain consistent testing
• Produce reproducible reports, datasets, and attack cases for customers
• Probe AI systems to uncover vulnerabilities automated tests miss
• Expand evaluation coverage and reduce production surprises
• Help Mercor customers strengthen the safety, robustness, and trustworthiness of AI systems

AI Safety Expert – English, Tamil

• Red-team conversational AI models and agents through jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Annotate failures, classify vulnerabilities, and flag systemic risks
• Follow taxonomies, benchmarks, and playbooks to keep testing consistent
• Produce reproducible reports, datasets, and attack cases
• Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
• Expand evaluation coverage and uncover vulnerabilities missed by automated tests
• Collaborate on projects training and enhancing frontier AI systems for Mercor's customers

AI Safety Expert – English, Marathi

Engineer

• Write challenging single-turn prompts in chemistry and chemical safety, labelled as benign, dual-use, or adversarial
• Evaluate model responses against a defined policy standard
• Judge whether responses handled technical requests correctly
• Write reference answers explaining correct responses and the underlying technical reasoning
• Distinguish routine professional questions from requests with potential misuse intent
• Provide written rationales that non-specialists can understand
• Work on scenarios involving exposure assessment, process hazards, toxic release and dispersion modelling, ventilation, containment, PPE, and regulatory compliance

Industrial Hygienist / Process Safety Engineer

• Design adversarial prompts to stress-test frontier AI models
• Identify jailbreaks, unsafe behaviours, hallucinations, and policy failures
• Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains
• Document vulnerabilities and contribute to safety benchmarking and red-teaming reports
• Collaborate with AI researchers to improve model alignment, robustness, and safety
• Work on projects focused on training and enhancing AI systems

AI Safety Red Teamer

Autocad

• Work on projects focused on training and enhancing AI systems
• Apply AutoCAD Mechanical expertise to support AI model training
• Perform 2D mechanical drafting and detailing to engineering standards
• Complete project work independently on a flexible schedule
• Collaborate with leading researchers
• Provide services without accessing confidential or proprietary information from any employer, client, or institution

Application User – AutoCAD Mechanical, STEM

• Red-team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Generate human data by annotating failures, classifying vulnerabilities, and flagging systemic risks
• Apply taxonomies, benchmarks, and playbooks to keep testing consistent
• Produce reproducible reports, datasets, and attack cases
• Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
• Uncover vulnerabilities that automated tests miss
• Expand evaluation coverage and strengthen customer AI systems
• Collaborate on projects training and enhancing frontier AI models

AI Safety Expert, English, Marathi

• Red-team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Annotate failures, classify vulnerabilities, and flag systemic risks
• Apply taxonomies, benchmarks, and playbooks to maintain consistent testing
• Produce reproducible reports, datasets, and attack cases
• Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
• Expand evaluation coverage and identify vulnerabilities automated tests miss
• Collaborate on projects training and enhancing AI systems

AI Safety Expert, English – Assamese

• Red-team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Generate human data by annotating failures, classifying vulnerabilities, and flagging systemic risks
• Apply taxonomies, benchmarks, and playbooks to maintain consistent testing
• Produce reproducible reports, datasets, and attack cases
• Probe AI systems for vulnerabilities that automated tests miss
• Expand evaluation coverage and reduce production surprises
• Help Mercor’s customers strengthen the safety, robustness, and trustworthiness of AI systems

• Red-team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Generate human data by annotating failures, classifying vulnerabilities, and flagging systemic risks
• Apply taxonomies, benchmarks, and playbooks for consistent testing
• Produce reproducible reports, datasets, and attack cases
• Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
• Uncover vulnerabilities that automated tests miss
• Expand evaluation coverage and strengthen customer AI systems

• Red team conversational AI models and agents through jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
• Generate human data by annotating failures, classifying vulnerabilities, and flagging systemic risks
• Apply taxonomies, benchmarks, and playbooks to keep testing consistent
• Produce reproducible reports, datasets, and attack cases for customers
• Review AI outputs involving sensitive topics such as bias, misinformation, or harmful behaviors
• Uncover vulnerabilities that automated tests miss
• Expand evaluation coverage and reduce production surprises
• Strengthen customer AI systems through adversarial testing

AI Safety Experts – English, Marathi

AI Safety Expert – English, Bengali

QA / Software Engineering Reviewer – Browser Test Validation

AI Safety Expert, English, Punjabi

AI Safety Expert – English, Tamil

AI Safety Expert – English, Marathi

Industrial Hygienist / Process Safety Engineer

AI Safety Red Teamer

Application User – AutoCAD Mechanical, STEM

AI Safety Red Teamer

AI Safety Expert, English, Marathi

AI Safety Expert, English – Assamese

AI Safety Expert – English, Tamil

AI Safety Expert – English, Marathi

AI Safety Expert, English, Portuguese