Text Situated Alignment Specialist (Contract)

Careerflow.ai•,
•Remote

About The Position

Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products. We are seeking Subject Matter Experts (SMEs) with expertise in psychology, social work, counseling, qualitative research, HCI, communication, conflict resolution, coaching, or related advisory fields to support AI conversation evaluation research. SMEs will review conversations between participants and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality.

Requirements

  • Candidates should have at least 3–5 years of direct practice relevant qualifications and professional experience in at least one of the following areas: Licensed Social Work, Counseling, Therapy, or Psychology, Qualitative Research, HCI, or Communication, Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields.
  • Must be based in the USA, Canada or Western Europe

Nice To Haves

  • Experience eliciting relevant context when clients initially provide incomplete information
  • Experience working across relationships, work, education, family, planning, wellbeing, and resource constraints, considering biological, psychological, social, spiritual/existential, financial, and practical factors
  • Qualitative coding or structured case review
  • Ability to distinguish between context that is load-bearing for the recommendation and that is merely descriptive/non-informative
  • Experience reviewing interviews, consultations, coaching sessions, or client interactions to identify missed opportunities for clarification or information gathering

Responsibilities

  • Review AI conversations involving real-world interpersonal and everyday decision-making scenarios.
  • Identify missing context and recommend relevant follow-up questions.
  • Evaluate whether additional information would have changed the AI's recommendations.
  • Distinguish between critical ("load-bearing") and non-essential information.
  • Conduct qualitative reviews and document findings using structured evaluation guidelines.
  • Collaborate with research teams to ensure consistent, high-quality assessments.
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