Top 30440 Analytics engineer Jobs

Analytics Engineer - AI Trainer
DataAnnotation —Pittsburgh, PA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Analytics Engineer - AI Trainer
DataAnnotation —Seattle, WA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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Data Engineer - Analytics Platforms
Peraton —Herndon, VA
- $86,000 - $138,000 a year
- Computer Science
- 5 years
- Bachelor of Science
- Health savings account
- Paid holidays
BI Analytics Engineer
Uline —Pleasant Prairie, WI
- Full-time
- Computer science
- Computer Science
- Pass drug screening
- Paid holidays
- Health insurance
Analytics Engineer, Automation & AI
Portico Property Management —Remote
- $70,000 - $80,000 a year
- Extended hours
- Remote
- Background check
- Azure
- Pass drug screening
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Analytics Engineer
HECLA MINING CO. —Coeur d'Alene, ID
- Full-time
- Remote
- Computer Science
- Mid-level
- 3 years
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Data Analytics Engineer II
Mercury Insurance Services, LLC —Remote
- $77,283 - $179,048 a year
- Remote
- Computer Science
- Mid-level
- SQL
- Paid holidays
- Health insurance
Analytics Engineer
Imperial PFS —Edwardsville, IL
- $88,000 - $117,000 a year
- Full-time
- Hybrid work
- Mid-level
- 2 years
- Communication skills
Quick Apply
Senior Analytics Engineer
Bamboo Health —Remote
- Full-time
- Remote
- Computer Science
- 5 years
- SQL
- Dental insurance
- Vision insurance
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Analytics Engineer
Morgan & Morgan, P.A. —New York, NY
- $120,000 - $160,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Bachelor of Science
- Paid holidays
- Health insurance
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BI (Analytics) Engineer
Candid Health —New York, NY
- $135,000 - $180,000 a year
- Full-time
- Writing skills
- Mid-level
- SQL
- Health insurance
Sr. Data Analytics Engineer
SYSRS IT Services,LLC —Green Cove Springs, FL
- Master's degree
- 8 years
- Analysis skills
Quick Apply
Analytics Engineer
Abbott Laboratories —Sylmar, CA
- $81,500 - $141,300 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Data Analytics Engineer
Murdoch's Ranch & Home Supply —Bozeman, MT
- Remote
- Azure
- SQL
- Senior level
- Wellness program
- Paid parental leave
Analytics Engineer
Purple Carrot —Dedham, MA
- $90,000 - $100,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- SQL
- Health insurance
- Dental insurance
Quick Apply
Analytics Engineer
Snyk —Boston, MA
- Full-time
- Mid-level
- SQL
- 1 year
- Paid parental leave
- Disability insurance
Data Analytics Engineer
Skanska USA —Charlotte, NC
- Full-time
- Background check
- Computer Science
- Mid-level
- Dental insurance
- 401(k)
Senior Analytics Engineer
Bold Penguin, Inc. —Remote
- $100,000 - $135,000 a year
- Full-time
- Remote
- Computer Science
- Ability to walk for extended periods
- 5 years
- Disability insurance
- Health insurance
10d
Analytics Engineer
Podium —Lehi, UT
- Computer Science
- Mid-level
- Office
- Paid parental leave
- Disability insurance
Quick Apply
Senior Data Analytics Engineer
Core BTS —Remote
- $97,000 - $130,000 a year
- Full-time
- Computer Science
- 3 years
- SQL
- Paid training
- Paid holidays

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Analytics Engineer - AI Trainer

DataAnnotation -
Pittsburgh, PA

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Job Details

Part-time | Full-time | Contract
$40 - $60 an hour

Benefits

Flexible schedule

Qualifications

Software coding
English
Providing code feedback

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Analytics Engineer - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly, up to $60 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

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