Data Science Specialist

AuraOne; United States; A distancia; USD 99.000 - 135.000; Jornada completa

Descripción de la vacante

AuraOne seeks a Data Science Specialist Operations reviewer for remote engagement. You will assess AI outputs against established workflows and policies, grade tone and escalation logic, and identify policy gaps and risks on a structured rubric.

The role requires working asynchronously at least 10 hours per week, with clear written reasoning and attention to detail to guide training the modeling team.

Formación

• Direct working experience in data science specialist operations on real teams for Data Science Specialist work.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear, written reasoning that names the policy/workflow applied.

Responsabilidades

• Review AI outputs against current data science specialist operations workflows, playbooks and firm policy.
• Grade tone, escalation logic and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed playbook calls using firm guidance.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Conocimientos

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Data Science specialist operations

Descripción del empleo

Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor

Data Science Specialist is a remote review track for evaluating AI outputs across data science specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Why this role matters

Data Science specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide whether a task actually gets done.

Responsibilities

• Review AI outputs against current data science specialist operations workflows, playbooks, and firm policy for Data Science Specialist assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Qualifications

• Direct working experience in data science specialist operations on real teams for Data Science Specialist work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Example tasks

• Grade a model's response to a real data science specialist operations ticket and rate workflow, tone, and escalation.
• Flag a missed escalation with the right severity tag and corrected next step.
• Adjudicate a disputed playbook call between two reviewers using firm guidance.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Nice to have

• Prior experience training, calibrating, or QA-ing operations teams.
• Familiarity with AI-assisted workflow tooling and its failure modes.
• Bilingual experience for cross-region operations.

Skills

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Data Science specialist operations

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.