Pediatric Registered Nurse Upto $65 hr

Full Time Remote Senior

Job description

About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Pediatric Nurses

Type: Contract

Compensation: $55â$65/hour

Location: Remote

Role Responsibilities

Review and evaluate AI-generated clinical outputs for pediatric scenarios.
Validate medical accuracy, safety, and adherence to clinical guidelines.
Annotate and structure pediatric patient cases for AI training datasets.
Provide expert feedback on diagnosis, treatment plans, and care recommendations.
Identify gaps, inconsistencies, or risks in AI-generated responses.
Collaborate with technical teams to improve model performance.

Qualifications

Must-Have

Active RN license (U.S.)
5+ years of pediatric nursing experience (hospital, PICU, NICU, or clinic)
Strong understanding of pediatric care standards and protocols
Excellent written communication skills
Ability to work independently and meet deadlines

Preferred

Familiarity with evidence-based guidelines (AAP, CDC, etc.)
Prior exposure to healthcare technology, informatics, or AI tools
Experience reviewing or training clinical staff
Detail-oriented with strong analytical thinking

Application Process (Takes 20â30 mins to complete)

Upload resume
AI interview based on your resume
Submit form

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Required skills

registered nurse aap safety ai diagnosis deadlines treatment plans analytical thinking clinical guidelines ai tools written communication skills pediatric protocols inconsistencies independence informatics healthcare technology rn license cdc model performance risks gaps ai training datasets medical accuracy evidence-based guidelines expert feedback clinical outputs pediatric patient cases care recommendations pediatric nursing experience pediatric care standards reviewing clinical staff

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