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Data Science handshake

Meter Data Analyst

Handshake • Remote

Education

Bachelor

Type

Hourly

Pay Rate

$85/hr

Listed

7d ago

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About this role

From the Handshake listing

Overview

Handshake is looking for energy industry professionals to support AI research through flexible, hourly contract work. This is not a traditional job. You’ll draw on your hands-on experience with utility metering, customer operations, and energy billing systems to evaluate AI-generated content and provide feedback that helps AI better understand utility workflows and customer data management practices.

This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.

Details

This project involves using your professional experience and hands-on knowledge of the tools you use in your daily work to create expert-level training data and evaluate AI-generated responses for accuracy and relevance. No prior AI experience required.

Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.

Placement depends on current project needs, with opportunities to be considered for future projects as they become available.

Qualifications

At least 2 years of professional experience in utility metering, customer operations, or related energy functions, in roles such as:

Meter Data Analyst or Customer Ops Analyst

Billing Analyst or Energy Accountant

Or equivalent roles in the energy industry

Hands-on experience with one or more of the following tools:

Oracle MDM

Oracle CC&B

SAP

Power BI

Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.

The application process

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Interview Prep

Sample questions for a Data Analyst role, written in-house to help you prepare.

What's your process for cleaning a dataset before starting analysis?

I start by profiling the data for missing values, duplicates, and outliers, then decide case by case whether to impute, drop, or flag issues based on how they'd affect the specific analysis. I document every transformation so the cleaning process is reproducible and reviewable, not just a black box.

How do you decide which statistical test is appropriate for comparing two groups?

I check the distribution of the data and whether the groups are independent or paired first, since that determines whether a t-test, a non-parametric alternative like the Mann-Whitney U test, or a paired test is appropriate. Choosing a test based on convention rather than the data's actual properties leads to unreliable conclusions.

What makes a data visualization misleading, even if the underlying numbers are correct?

Common issues include truncated axes that exaggerate differences, using pie charts for data with too many categories to compare visually, or choosing a chart type that implies a trend the data doesn't actually support. I try to match the chart type to the specific comparison I want the viewer to make.

How do you handle outliers in a dataset when you're not sure if they represent errors or real extreme values?

I investigate the source of the outlier before deciding how to handle it, since a data entry error should be corrected or removed, while a genuine extreme value, like a real high-value transaction, should usually stay in the dataset. Removing outliers automatically without checking their origin risks losing real signal.

See all 10 questions for this role →

Why this role

This Meter Data Analyst role is fully remote and pays $85/hr, a solid way into Data Science work without needing to live near an office or relocate for it.

Talent pool

We're light on Data Science candidates

We've matched 9 people with a Data Science background against 293 Data Science listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.

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Skills and categories

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Common questions

Can I use Handshake if I graduated years ago?

Probably not a good fit. Handshake's AI Fellowship roles target current university students and early talent within about 1-2 years of graduation. Experienced professionals typically find faster approval and better rates on Outlier or Mercor.

Is Handshake itself the employer for AI training roles?

For the AI Fellowship roles specifically, yes, Handshake acts as the employer of record. That's different from the rest of the site, which functions as a job board listing openings for other companies.

What does task-based AI training work look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does asynchronous AI training work mean in practice?

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

What does Data Science work look like for a Meter Data Analyst?

Tasks here are scoped to Data Science, not generic labeling. As a Meter Data Analyst, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Data Science) rather than following a one-size-fits-all rubric. If you don't have hands-on Data Science background, this is likely not the right listing to start with.

What specific skills does this listing call for?

Expert is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

This listing is posted at $85/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.

What happens when I click Apply on this listing?

You'll be taken to Handshake's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Are Handshake AI training listings internships?

Some are, some aren't. Handshake lists both standard internships and separate "AI Trainer" fellowships. Check the job description for "1099" or "Contract" language: that signals a freelance role, not W-2 employment.