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Clinical Interviewer Jobs (NOW HIRING)

Forward Deployed Engineer

New York, NY · On-site

$80K - $150K/yr

... clinical roles more quickly. When healthcare organizations hire faster, patient care improves ... Ensure interviewer conversations are consistent, role-relevant, and robust to edge cases (evasive ...

$10/hr

Assessment Day Actor Role play patients seeking mental health services for evaluation of first year students readiness to enter clinical practice in the family therapy center and community placements.

Assessment Day Actor Role play patients seeking mental health services for evaluation of first year students readiness to enter clinical practice in the family therapy center and community placements.

... and clinical needs. • Obtain relevant medical history and conduct thorough, age-appropriate ... Multidisciplinary Collaboration • Work collaboratively with the Forensic Interviewer, Patient ...

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Clinical Interviewer information

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$5

$23

How much do clinical interviewer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for clinical interviewer in the United States is $22.04, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $22.12 per hour, depending on experience, location, and employer.

What is a Clinical Interviewer job?

A Clinical Interviewer is a professional who conducts structured or semi-structured interviews to assess patients' medical, psychological, or social histories. They work in healthcare, research, or clinical settings to gather detailed information used for diagnosis, treatment planning, or studies. Their role involves asking standardized questions, documenting responses accurately, and sometimes administering assessments. Strong communication, attention to detail, and confidentiality are essential in this position.

What does a typical day look like for a Clinical Interviewer, and who do they work with?

A typical day for a Clinical Interviewer involves conducting structured or semi-structured interviews with clients or research participants, documenting responses accurately, and sometimes administering standardized psychological assessments. They often collaborate closely with psychologists, research coordinators, social workers, and other healthcare professionals. Depending on the setting, Clinical Interviewers may work in hospitals, research institutions, mental health clinics, or field environments, and must manage a schedule that balances multiple interviews and documentation tasks. This collaborative and dynamic work environment provides valuable experience for those interested in advancing within psychology, research, or mental health careers.

What are the key skills and qualifications needed to thrive in the Clinical Interviewer position, and why are they important?

To thrive as a Clinical Interviewer, you need a solid background in psychology, social work, or a related field, along with experience in structured interviewing and mental health assessment. Familiarity with standardized assessment tools, electronic data entry systems, and sometimes certification in specific interview protocols is often required. Excellent interpersonal skills, active listening, and the ability to build rapport with diverse individuals are highly valuable in this role. These competencies ensure accurate data collection, client trust, and effective collaboration within healthcare or research settings.

What cities are hiring for Clinical Interviewer jobs? Cities with the most Clinical Interviewer job openings:
What are the most commonly searched types of Clinical Interviewer jobs? The most popular types of Clinical Interviewer jobs are:
What states have the most Clinical Interviewer jobs? States with the most job openings for Clinical Interviewer jobs include:
Infographic showing various Clinical Interviewer job openings in the United States as of June 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,833 per year, or $22 per hour.

Forward Deployed Engineer

Take2 AI

New York, NY • On-site

$80K - $150K/yr

Full-time

Posted 12 days ago


Job description

About Take2 AI
Take2 builds AI Interviewers that automate the entire screening process - reviewing resumes, conducting structured phone screens, and scheduling next steps.
Today, our customers are leading healthcare organizations. Every month, we help hospitals and health systems hire faster, reduce recruiting overhead, and fill critical clinical roles more quickly.
When healthcare organizations hire faster, patient care improves. Staffing gaps shrink. Burnout decreases. The ripple effects are real.
We already power thousands of candidate conversations each month. Now we're scaling to millions - at a time when healthcare workforce infrastructure needs transformation.
About the Role
Take2 AI is hiring a Forward Deployed Engineer to design, launch, and continuously improve our AI Interviewers for customers. Our AI agents already conduct tens of thousands of structured candidate interviews each month.
This role sits at the intersection of voice/conversational agents, prompt + flow design, evaluation/scoring rubrics, and production iteration. You'll work directly with customers to understand screening requirements, translate them into structured interviewer behavior, deploy agents into production, and improve performance based on real-world feedback and metrics.
This is a hands-on, highly analytical role for someone who enjoys turning ambiguous requirements into precise agent behavior, building rigorous evaluation approaches, and shipping improvements quickly in a startup environment.
What You'll Do
Customer Onboarding & Requirements (Customer-Facing)
  • Lead technical onboarding with customers to understand roles, hiring goals, must-have signals, and constraints.
  • Translate customer needs into structured interview flows, role-specific question banks, and scoring rubrics.
  • Set clear expectations on what "good" looks like (pass/fail thresholds, evaluation rationale, interviewer tone and style).

Voice Agent Conversation Design (Prompts + Flows)
  • Design, build, and refine prompts and agent logic that drive interviewer behavior, question sequencing, probing, and candidate experience.
  • Ensure interviewer conversations are consistent, role-relevant, and robust to edge cases (evasive candidates, unclear answers, noisy audio, interruptions).
  • Implement multi-step structured interview flows with state management and guardrails.

Evaluation & Scoring Systems
  • Design and maintain AI-based evaluation and scoring aligned to customer rubrics and hiring criteria.
  • Improve accuracy, consistency, and explainability of scoring at scale (including calibration across roles/customers).
  • Identify bias/fairness risks and contribute to mitigation strategies and compliant evaluation practices.

Deployment, Iteration, and Customer Feedback Loops
  • Launch new customer interviewers into production and own iteration cycles from early rollout through steady-state performance.
  • Use customer feedback + production metrics to prioritize improvements and deliver measurable outcomes.
  • Communicate changes clearly to customers and internal stakeholders.

Quality, Reliability, and Scale
  • Build and own lightweight QA/evaluation pipelines to measure conversation quality, scoring accuracy, and reliability before/after changes.
  • Monitor production performance and partner with engineering to balance quality, latency, and cost tradeoffs.
  • Contribute to standards and best practices for prompt quality, eval quality, and voice-agent reliability.

In Terms of Experience
Required:
  • 2+ years working with LLMs, NLP systems, or AI agents in production.
  • Demonstrated experience designing and deploying agent workflows (prompts + structured flows) that operate at scale.
  • Strong understanding of prompt engineering, agent control, failure modes, and conversational edge cases.
  • Experience building or contributing to evaluation/testing/QA frameworks for AI systems.
  • Comfort being customer-facing: running technical discovery, translating requirements, and driving onboarding to production.
  • Strong analytical mindset (accuracy, consistency, bias, calibration, and edge cases).
Preferred:
  • Familiarity with voice/conversational AI systems, especially real-time or high-volume environments.
  • Strong Python skills (APIs, data pipelines, eval harnesses, testing frameworks).
  • Hands-on experience with multiple LLMs (GPT, Claude, Gemini, LLaMA/Mistral, fine-tuned models).
  • Experience designing multi-step agents with state management and structured outputs.
  • Experience operating AI systems in production and iterating based on real-world performance metrics.
  • Prior startup experience (high ownership, fast iteration, ambiguity).
  • Bachelor's degree in CS/Engineering/Math or related technical field - or equivalent practical experience.

Location & Flexibility
We're NYC-based and work hybrid (in-office Mon-Thu). We value in-person collaboration but also trust people to manage their time responsibly.
Compensation & Growth
Competitive salary + meaningful equity. This is a chance to join at a stage where your work meaningfully shapes the product and your career trajectory.