AI Data Scientist — Model Evaluation & Prompting (Remote)

Invisible Technologies Inc.; United States; Remote; USD 8,300 - 90,000; Full time

Benefits offered by this job

Remote work

Job summary

Invisible Technologies seeks a mid‑senior data science specialist to help advance AI via rigorous ML research, statistical modeling, and data pipelines. You will evaluate language models, run experiments, and document failure modes to harden model reasoning.

This remote, contract role rewards expertise in cloud platforms and reproducible workflows, with compensation based on experience and location. A master’s or PhD is ideal; strong communication and clear prompts work are essential.

Qualifications

• Master’s or PhD in data science, CS, statistics, or related field.
• Proven experience with ML model evaluation and real-world data pipelines.
• Strong communication and documented reproducible workflows.
• Experience with cloud platforms and open-source contributions.

Responsibilities

• Evaluate and challenge language models on ML topics and data science questions.
• Document failure modes and improve prompt engineering and evaluation metrics.
• Capture reproducible error traces and propose improvements to model reasoning.
• Collaborate with teams to implement scalable data pipelines and experiments.

Skills

Machine learning

Statistical modeling

Data engineering

Data visualization

Natural language processing

Time series analysis

Deep learning

Algorithm development

Prompt engineering

Education

Master's or PhD in data science, CS, statistics or related field

Tools

Python

R

TensorFlow/PyTorch

Cloud platforms (AWS/GCP/Azure)

Open-source contributions

Job description

Invisible Technologies seeks a mid‑senior data science specialist to help advance AI via rigorous ML research, statistical modeling, and data pipelines. You will evaluate language models, run experiments, and document failure modes to harden model reasoning.

This remote, contract role rewards expertise in cloud platforms and reproducible workflows, with compensation based on experience and location. A master’s or PhD is ideal; strong communication and clear prompts work are essential.