Conversational AI Engineer Jobs
Conversational AI Engineer jobs are open across tech, healthcare, financial services, and enterprise software, from new-grad to principal and staff level, with specializations in dialogue systems, large language model fine-tuning, and voice interface development. Find a role that fits from the openings below and apply directly.
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JOB TITLE: Multilingual Conversational AI UX and Safety Evaluator
LOCATION: Remote
JOB TYPE: Contract
PAY: $75.00 – $100.00 per hour (USD)
SCHEDULE: 10–20 hours per week (Flexible)
HIRES NEEDED: 1
HIRING TIMELINE: ASAP
About the Product
We are building an AI-powered emotional wellness app designed primarily for South Asian, Middle Eastern, and immigrant communities. The app supports people navigating stress, burnout, relationships, marriage, cultural expectations, family pressure, emotional regulation, identity, grief, and difficult life decisions.
Many of our intended users may not feel comfortable beginning traditional therapy, but still want private, thoughtful, culturally informed emotional support. Our goal is not to create another generic chatbot. We are building an experience that feels deeply understanding, practical, emotionally intelligent, culturally aware, multilingual, and safe.
We are looking for an experienced evaluator to rigorously test the product before a wider release.
The Role
You will test and evaluate the app from the perspective of real users across multiple languages, cultures, ages, and emotional situations. This is not limited to testing whether buttons and technical features work.
You will evaluate whether the app:
- Understands what users are truly trying to communicate
- Responds appropriately in different languages
- Maintains the intended meaning when users switch languages
- Understands cultural expressions, idioms, indirect communication, and family terminology
- Responds with warmth without sounding robotic or overly therapeutic
- Asks thoughtful and relevant follow-up questions
- Provides specific, practical guidance rather than generic advice
- Remembers and appropriately uses previous context
- Understands South Asian and immigrant family dynamics without stereotyping
- Responds safely to emotionally sensitive and high-risk situations
- Creates enough value that users would choose to return
You should be willing to challenge the product, confuse it, contradict it, reject its suggestions, switch languages unexpectedly, and deliberately attempt to expose weaknesses.
Required Language Testing
The app must be tested in: English, Urdu, Hindi, Punjabi, Arabic, Bengali, Gujarati, Tamil, Telugu, and additional South Asian languages when relevant.
Testing must include both native-script and Romanized communication, such as Roman Urdu, Roman Hindi, and Roman Punjabi.
Candidates may apply individually or as part of a small multilingual testing team. A strong individual candidate should be fluent in at least two of the listed languages and demonstrate the ability to coordinate testing with qualified native speakers for the remaining languages. Machine translation alone is not sufficient. Native or near-native review is required.
Primary Responsibilities
- Test Complete User Journeys — Onboarding, account creation, initial conversations, recurring sessions, saved information, recommendations, and return-user experiences.
- Evaluate Conversation Quality — Realistic conversations involving burnout, family pressure, marriage conflict, grief, boundaries, guilt, dating, spirituality, bicultural identity, and more.
- Conduct Multilingual Quality Testing — Compare performance across languages. Determine if meaning is preserved, response feels natural, cultural nuance is respected, and safety protections remain equally strong.
- Conduct Adversarial and Edge-Case Testing — Attempt to make the app fail through contradictions, sudden topic shifts, code-switching, angry inputs, high-risk indirect language, and more.
- Evaluate Safety — Test scenarios involving self-harm, domestic violence, child abuse, medical emergencies, panic, religious guilt, and more. Ensure the app remains compassionate while recognizing limitations and directing users to appropriate support.
- Evaluate Cultural Intelligence — Assess understanding of izzat, sharam, family reputation, marriage pressure, gender roles, immigration identity, in-law dynamics, and cultural nuance without stereotyping.
Required Deliverables
- Documented test conversations across all required languages
- A language-by-language quality comparison
- A structured scoring system for response quality
- A prioritized list of product failures (Critical / High / Medium / Low / Cosmetic)
- Screen recordings or screenshots of significant issues
- User-journey and abandonment analysis
- Multilingual safety-testing report
- Cultural-intelligence assessment
- Recommended rewrites for weak conversations
- Reusable regression-testing library for future product updates
- Weekly summary of highest-priority findings
- Final presentation outlining highest-impact improvements
Each report should include: exact user input, language used, English translation when necessary, app's response, what worked, what failed, possible user impact, recommended correction, and priority level.
Ideal Background
You may be a strong candidate if you have experience in one or more of the following:
- Conversational AI evaluation
- Generative AI or chatbot testing
- Multilingual AI evaluation
- AI localization or linguistic quality assurance
- UX research or usability testing
- AI safety, trust and safety, or red teaming
- Digital health or mental-health technology
- Psychology, behavioral science, or human-computer interaction
- Trauma-informed communication
- Product quality assurance
- South Asian or Middle Eastern cultural research
- Translation, interpretation, or linguistic evaluation
Direct experience in every category is not required. We care most about your ability to recognize emotional nuance, test rigorously, understand cultural context, identify safety concerns, document problems clearly, and recommend practical improvements.
Required Qualifications
- Fluency in English
- Fluency in at least two additional required languages
- Ability to coordinate qualified native-language testers for languages not personally covered
- Experience evaluating conversational AI, digital products, or complex user experiences
- Strong written documentation skills
- Comfort testing emotionally sensitive scenarios
- Ability to distinguish translation accuracy from emotional and cultural accuracy
- Respect for confidentiality and sensitive user information
Preferred Qualifications
- Experience with mental-health, wellness, medical, or digital-health products
- Experience conducting AI red-team or trust-and-safety testing
- Familiarity with South Asian family and cultural dynamics
- Experience testing Romanized South Asian languages
- Experience creating AI evaluation rubrics or regression-test suites
- Background in linguistics, psychology, behavioral science, UX research, or human-computer interaction
Important Boundaries
This role does not involve providing therapy to users or diagnosing mental-health conditions. Testing must use fictional, synthetic, or properly de-identified scenarios. Real client information must not be entered into the product unless the company has explicitly approved a compliant testing procedure. Confidentiality is essential. The selected contractor will be required to sign confidentiality, data-protection, and intellectual-property agreements.
Compensation and Schedule
- Compensation: $75–$100 per hour (USD), depending on experience
- Initial commitment: 10–20 hours per week
- Work arrangement: Remote
- Schedule: Flexible, with agreed-upon weekly deliverables
- Contract length: Initial testing period with the possibility of ongoing work
- Hours must be documented by testing activity and deliverable
Finalists may be invited to complete a paid evaluation exercise (2–3 hours, compensated at the role's stated hourly rate) before selection.
How to Apply
Please submit:
- A brief introduction describing your relevant experience
- The languages you speak and your level of proficiency in each
- Your experience with conversational AI, multilingual testing, UX research, safety evaluation, or digital health
- An example of a chatbot, AI product, or digital product you have evaluated
- A sample testing report or anonymized work product, when available
- Your proposed approach to evaluating an emotionally sensitive multilingual AI product
- Whether you are applying individually or with a multilingual testing team
- Your hourly rate and weekly availability
- A response to the application scenario below
Application Scenario
A user tells the app:
"My family says I am selfish because I want to move out, but I have spent my whole life doing everything for them."
In no more than 400 words:
- Explain what a strong response from the app should accomplish
- Identify what a weak or harmful response might do
- Explain how you would score the response
- Identify the cultural considerations that should be evaluated
- Translate the user's message into one South Asian or Middle Eastern language you speak
- Explain whether the emotional meaning changes when expressed in that language
Pay: $75.00 - $100.00 per hour
Benefits:
- Flexible schedule
Work Location: Remote
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Media & Entertainment
- Insurance
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in conversational AI engineer jobs.
- Experience designing and deploying NLU or LLM-based conversational systems in production
- Proficiency in Python and familiarity with at least one major dialogue framework such as Rasa, Dialogflow, or Lex
- Knowledge of prompt engineering, retrieval-augmented generation, or fine-tuning techniques for large language models
- Ability to evaluate conversational quality using metrics like intent accuracy, slot-filling precision, and task completion rate
- Experience integrating conversational agents with APIs, CRMs, or contact-center platforms
- Bachelor's or master's degree in computer science, computational linguistics, or a related field
Tips for Your Conversational AI Engineer Job Search
Tailor your resume for each stack
Hiring managers scan for specific frameworks fast. Call out whether your experience is in Rasa, Dialogflow, Amazon Lex, or custom LLM pipelines by name, and match the tools listed in each job posting rather than listing every technology you've touched.
Showcase deployed conversational systems
A GitHub repo of notebooks rarely lands interviews on its own. Link to or describe production chatbots, voice assistants, or agent pipelines you shipped, including the channel they ran on, the scale, and the measurable outcome your work drove.
Apply early to roles that fit
Migrate Mate lists conversational ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by domain to sharpen targeting
Conversational AI skills transfer across industries, but interview questions differ sharply between healthcare compliance use cases and consumer-facing retail bots. Decide which domain you want to specialize in first, then search that vertical specifically rather than applying broadly.
Prepare to walk through an end-to-end NLU design
Most technical screens ask you to design an intent taxonomy, handle edge cases, and explain how you'd evaluate model quality. Practice talking through your intent-entity design decisions out loud, not just what you built but why you made those tradeoffs.
Negotiate on scope, not just compensation
Conversational AI roles vary widely in autonomy. Before accepting an offer, ask specifically whether you own the full dialogue design or implement designs handed to you, and whether the team has a roadmap for moving from rule-based to generative approaches.
Conversational AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most conversational ai engineers?
The companies hiring the most conversational ai engineers right now include PwC, CVS Health, and Intuit, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of August 2026. Demand is especially concentrated at enterprise software companies and healthcare technology firms building patient-facing or internal support automation.
How many conversational ai engineer jobs are remote?
About 65% of conversational ai engineer openings are fully remote or hybrid as of August 2026, reflecting the discipline's strong orientation toward software-first work. Roles focused on LLM integration and prompt engineering tend to be the most remote-friendly, while positions tied to voice hardware or contact-center platform deployments more often require on-site presence.
How do you become a conversational ai engineer?
Start by building a foundation in Python and natural language processing through coursework or self-study, then work with at least one dialogue framework such as Rasa or Dialogflow on a real project. Develop hands-on experience with large language model APIs, practice designing intent taxonomies, and document at least one deployed or end-to-end prototype you can speak to in interviews. A portfolio of shipped or demonstrable conversational systems carries more weight than credentials alone.
Can I get a conversational ai engineer job with little or no experience?
Yes, entry-level and associate conversational ai engineer roles exist, but they expect demonstrated technical work even without professional history. Build a chatbot or voice assistant using an open-source framework, publish it with clear documentation, and write up the design decisions you made. Roles at startups or in internal tooling teams are more likely to take on candidates who show strong fundamentals and a concrete project over those with only academic coursework.
What does the conversational ai engineer interview process look like?
The process typically runs three to four stages. A recruiter screen is followed by a technical phone interview covering NLU concepts, intent design, and Python fundamentals. The main round usually includes a take-home or live system design exercise where you build or critique a conversational flow, plus a behavioral panel. Final rounds often add a domain-specific discussion about evaluation methodology or how you'd handle failure modes in production.
Where can I find and apply to conversational ai engineer jobs?
You can find and apply to conversational ai engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
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