Remote Social Worker for AI-Enabled Casework

Turing Enterprises, Inc.; Seattle (WA); Remote; USD 39,000 - 83,000; Full time

Benefits offered by this job

Fully remote work

Job summary

Turing Enterprises, Inc. is seeking a Social Worker/Case Manager to contribute to projects that test and improve AI systems through social work and public welfare experience. You will craft explanations grounded in government policies and ethics, and evaluate AI outputs for accuracy and empathy.

This fully remote contractor assignment (~1 month, possibility of extension) involves collaboration with researchers to apply social service knowledge to AI evaluation in public-sector settings.

Qualifications

• 4+ years of experience as a Social Worker, Case Manager, or Counselor in government or public welfare programs.
• Currently pursuing or have obtained a Bachelor’s degree in Social Work, Psychology, Human Services, or Sociology.
• Strong understanding of community engagement and interagency collaboration.

Responsibilities

• Design and solve real-world social work and case management scenarios to test AI reasoning.
• Write clear, structured explanations grounded in government policies and ethical practice.
• Evaluate AI responses for accuracy, empathy, and alignment with social service standards.
• Collaborate with researchers to refine AI understanding of child protection laws, family support systems, and school-based interventions.

Skills

Social work

Case management

Policy writing

Empathy & communication

Data review & annotation

Education

Bachelor’s degree in Social Work or related field

Tools

Web-based data tools

Job description

Turing Enterprises, Inc. is seeking a Social Worker/Case Manager to contribute to projects that test and improve AI systems through social work and public welfare experience. You will craft explanations grounded in government policies and ethics, and evaluate AI outputs for accuracy and empathy.

This fully remote contractor assignment (~1 month, possibility of extension) involves collaboration with researchers to apply social service knowledge to AI evaluation in public-sector settings.