Entry Level Data Analyst Jobs Remote No Experience 74000/yearly

task description
data evaluation – AI schooling RoleAbout our consumer
Our client is a main force in advancing safer, smarter AI era. Their paintings has been featured in Forbes, The ny instances, and other major stores for pioneering exceptional, human-tested statistics that powers today’s top AI structures.

they’ve built a global network of expert members and have paid extra than $500 million to specialists all over the international who help train, take a look at, and enhance next–technology AI models.

Why be part of this crew?
Earn as much as $50/hr, paid weekly.
payments through PayPal or AirTM.
No contracts, no 9-to-5 – you control your time table.
most specialists paintings 5-10 hours/week, with the option to work up to forty hours from home.
join a worldwide community of specialists contributing to superior AI tools.
free access to the model Playground to have interaction with leading LLMs.
necessities
Bachelor’s diploma or higher in a quantitative, technical, or business area (e.g., statistics, arithmetic, information technological know-how, Operations research, pc technological know-how, Engineering, Economics, Finance, or similar).
2+ years of revel in in an analyst, consultant, or studies function concerning quantitative evaluation, modeling, or forecasting.
tested enjoy running with datasets stop-to-cease: sourcing, cleaning, studying, and deriving insights.
talent with statistics analysis tools which include Python, R, sq., or comparable, and familiarity with visualization methods.
strong hassle–fixing competencies, attention to detail, and potential to genuinely provide an explanation for outcomes to non-technical audiences.
What you’ll do
guide the education of generative AI fashions via making use of advanced analytical skills.
locate and source open datasets relevant to business and research needs.
clean, transform, and prepare statistics for evaluation and modeling.
build statistical or forecasting models to extract meaningful insights.
talk findings definitely, emphasizing implications and actionable tips.