Contract Position: Senior AI Trainer - Pharmacists

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud, “enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description Job Title: Senior AI Trainer - Pharmacists

Location: Pan India

Experience: 4+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Roles & Responsibilities Role Overview:

We are seeking Pharmacist Experts to generate, evaluate, and refine tasks related to clinical pharmacy and medication management for frontier AI initiatives. In this role, experts will build technically accurate, practical tasks that test AI model capabilities in pharmacotherapy, clinical dosing calculations, drug interaction checks, and patient medication safety.

Requirements Professional Experience: ~3–8 years of professional pharmacy practice (e.g., retail, hospital, or clinical environment).

Credentials: Doctor of Pharmacy (PharmD) or regionally equivalent pharmacy qualification with active professional licensure.

Core Competencies: Practical knowledge of pharmacotherapy, therapeutic drug monitoring, renal/hepatic dosing adjustments, drug-drug and drug-food interaction screening, and patient safety protocols.

Deliverable History: Proven track record of producing clinical deliverables such as drug regimen reviews, patient counseling notes, dosing recommendation plans, and medication reconciliation summaries.

Exceptional Analytical Thinking: Ability to review complex patient charts, evaluate multi-drug regimens, identify drug-related problems (DRPs), and validate clinical reasoning.

Attention to Detail: Strong commitment to ensuring complete clinical accuracy, safety compliance, and realistic scenario design.

Communication: Excellent written communication skills for writing realistic clinical vignettes, pharmaceutical prompts, and structured evaluation rubrics.

Independence: Self-motivated and able to work independently, incorporate calibration feedback, and iterate under senior review.

Responsibilities In this role, you will be part of a specialized functional pod responsible for creating high-quality training and evaluation data for AI models. Your day-to-day responsibilities will include:

Producing expert-level tasks and gold-standard solutions in pharmacotherapy, drug interactions, and dosing management that meet the pod’s quality bar.

Authoring realistic clinical task scenarios involving patient chart reviews, therapeutic recommendations, adverse reaction evaluations, and dosing adjustments.

Applying rubric standards and grading frameworks set by the Functional SME (Expert) Lead.

Working under senior review to incorporate calibration feedback, refine outputs, and iterate on task designs.

Verifying that all created clinical scenarios, lab values, and medication profiles are accurate, realistic, and solvable using standard clinical reference materials.

Ensuring consistent alignment with project guidelines, quality benchmarks, and milestone deadlines.

Education & Experience Bachelor’s degree or equivalent practical experience in any field.

Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.