Data Science Specialist – AI Trainer

Invisible Technologies

. Converse with advanced language models on project scenarios and theoretical data science questions .

Posted 11/1/2026contractRemote • United StatesMid-LevelSenior💰 $6 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science with a focus on machine learning, statistical modeling, and natural language processing. Proficient in evaluating model performance and documenting failure modes to enhance model reasoning and accuracy.

Highest-signal resume keywords

Data Science ExpertiseMachine LearningNatural Language ProcessingStatistical ModelingDeep Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm DevelopmentData EngineeringData VisualizationTime Series AnalysisFeature EngineeringAnomaly DetectionModel Evaluation MetricsSupervised LearningUnsupervised ClusteringRegression Techniques

Soft Skills

Clear CommunicationMetacognitive Thinking

Tools & Technologies

Cloud Platforms

Certifications & Qualifications

Master's DegreePhD

Industry Keywords

Peer-Reviewed PublicationsOpen-Source ContributionsReal-World Data PipelinesModel Failure ModesReproducible Error Traces

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Converse with advanced language models on project scenarios and theoretical data science questions
Verify factual accuracy and logical soundness of model responses
Capture reproducible error traces
Suggest improvements to prompt engineering and evaluation metrics
Challenge language models across machine learning, statistical modeling, data engineering, data visualization, NLP, time series analysis, deep learning, and algorithm development
Document model failure modes to improve model reasoning

Requirements

What you’ll need

Data science expertise in machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development
Ability to evaluate supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines
Ability to document failure modes and capture reproducible error traces
Ability to verify factual accuracy and logical soundness
Clear, metacognitive communication and ability to “show your work”
A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal
Peer-reviewed publications, industry projects, cloud platform experience, or open-source contributions signal fit
Secure computer and high-speed internet for contract work

Benefits

Comp & perks

Pay range of $6–$65 per hour, with the exact rate determined after evaluating experience, expertise, and geographic location
Contractor supplies a secure computer and high-speed internet
Company-sponsored health insurance and PTO do not apply