Senior Machine Learning & Data Scientist

Senior Machine Learning & Data Scientist

Position:

Senior Machine Learning & Data Scientist

Type:

Hourly Contract (Part-Time)

Compensation:

$120–$170/hour

Location:

Remote

About the Opportunity

This opportunity is for experienced

Senior Machine Learning & Data Scientists

interested in contributing to advanced

AI research and evaluation projects

focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems.

The role involves evaluating

AI-generated machine learning models, data science solutions, statistical analyses, and predictive approaches

. You'll apply your expertise across

machine learning, data science, statistical modeling, and advanced analytics

to assess AI outputs and provide technical feedback that improves model performance.

No prior

AI experience

is required. Your

machine learning and data science expertise

are the primary qualifications for success in this role.

Responsibilities

Evaluate

AI-generated machine learning models, data analyses, and statistical solutions

for accuracy and technical quality.

Solve complex

machine learning, statistical modeling, predictive analytics, and data science

problems.

Review AI-generated approaches involving

data preprocessing, feature engineering, model development, training, validation, and evaluation

.

Analyze

large datasets, predictive models, algorithms, and statistical methodologies

to identify errors and inconsistencies.

Evaluate

model performance, experimentation results, and analytical methodologies

using appropriate statistical and machine learning techniques.

Compare multiple AI-generated solutions and assess their

technical strengths, weaknesses, and reasoning quality

.

Provide structured technical feedback to improve

AI accuracy, machine learning reasoning, and analytical capabilities

.

Collaborate with technical reviewers and interdisciplinary teams to maintain

consistent evaluation standards and data quality

.

Required Qualifications

3+ years of professional experience

in

Machine Learning, Data Science, or a related quantitative field

.

Strong expertise in

machine learning, statistical analysis, predictive modeling, and data analytics

.

Proficiency in

Python and SQL

, with experience using modern data science and machine learning libraries.

Strong understanding of

machine learning algorithms, probability, statistics, model evaluation, and experimental design

.

Experience developing, evaluating, or deploying

machine learning models and data science solutions

.

Ability to assess

AI-generated technical solutions

and identify methodological issues, errors, and edge cases.

Excellent

analytical, problem-solving, and written communication skills

.

Preferred Qualifications

Experience with

PyTorch, TensorFlow, scikit-learn, XGBoost

, or similar machine learning frameworks.

Experience working with

LLMs, generative AI, AI agents, or AI model evaluation

.

Experience with

deep learning, natural language processing, computer vision, or recommender systems

.

Familiarity with

MLOps, cloud platforms, distributed computing, Docker, or production machine learning systems

.

Experience with

A/B testing, causal inference, time-series analysis, experimentation, or advanced statistical methods

.

Prior experience with

AI evaluation, technical review, data annotation, or model quality assessment projects

.

Compensation

Competitive compensation of $120–$170/hour.

Weekly payments.

Independent contractor engagement.

Application Process

Easy Apply on LinkedIn

Check Email for Next Steps

Participate in Resume Evaluation & Interview Stage