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Wonder Research Jobs (NOW HIRING)

Wonder Group, Inc.

Account Executive

New York, NY · On-site +1

$52K - $105K/yr

We've been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense ... You'll research and consult with restaurants, contact and meet with decision makers, and show them ...

Lnw

Software Engineer

Las Vegas, NV · On-site

Research new technologies to modernize and elevate existing Light & Wonder products * Work on refactoring, improving, and optimizing existing code base * Design and build libraries that will be ...

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Wonder Research information

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$43K

$105.3K

$155.5K

How much do wonder research jobs pay per year?

As of Jun 16, 2026, the average yearly pay for wonder research in the United States is $105,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $127,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Wonder Research Analyst, and why are they important?

To thrive as a Wonder Research Analyst, you need strong analytical thinking, attention to detail, and excellent written communication skills, usually supported by a bachelor’s degree in a relevant field. Familiarity with online research tools, databases, and productivity platforms like Google Workspace is typically required. Being resourceful, deadline-driven, and able to distill complex information clearly are standout soft skills for this role. These capabilities enable analysts to deliver accurate, concise, and actionable research that meets client needs efficiently.

How do you get into research jobs?

To get into research jobs, candidates typically need a relevant degree such as a bachelor's or master's in a related field, along with strong analytical and problem-solving skills. Gaining experience through internships, assisting with projects, or developing proficiency in research tools and methodologies can improve chances of entry; some roles may also require specialized certifications or knowledge of data analysis software.

What are the typical daily responsibilities of a Wonder Research Analyst, and how do they manage multiple research requests?

As a Wonder Research Analyst, your daily responsibilities revolve around reviewing, researching, and delivering concise, well-sourced answers to client questions across a variety of topics. Analysts typically juggle several requests at once, requiring strong time management and organizational skills. You'll often collaborate with other analysts via internal forums to clarify briefs or share best practices, but most work is completed independently and remotely. The role offers flexibility, but meeting quality standards and deadlines is essential for success.

How do I become an online researcher?

To become an online researcher, develop strong research skills, proficiency with internet search engines, and familiarity with data collection tools. Gaining experience through freelance platforms or internships can also help, along with building a reliable work environment and time management skills.

What is a Wonder Researcher?

A Wonder Researcher is a freelance professional who works for Wonder, a company that provides businesses and individuals with on-demand research services. Wonder Researchers are responsible for answering client questions by conducting thorough online research, summarizing findings, and providing clear, concise reports. This role is fully remote and offers flexible hours, making it popular among students, freelancers, and those seeking side income. Successful Wonder Researchers must have strong analytical, writing, and research skills, as well as the ability to synthesize information from multiple sources.

What is the difference between Wonder Research vs Market Research Analyst?

AspectWonder ResearchMarket Research Analyst
Required CredentialsBachelor's degree in marketing, business, or related field; strong analytical skillsBachelor's degree in marketing, business, statistics, or related field; proficiency in data analysis tools
Work EnvironmentOffice setting, often collaborative teams, client-facingOffice-based, research firms, or corporate marketing departments
Industry UsageMarket research, consulting, advertisingMarket research, marketing, product development
Common Search/ComparisonWonder Research vs Market Research Analyst

Wonder Research and Market Research Analysts both analyze market data to inform business decisions. Wonder Research may focus more on specific research projects or client needs, while Market Research Analysts typically handle broader market data analysis. Both roles require similar educational backgrounds and work environments, making them closely related but distinct in scope and application.

What is the highest paying job in research?

In research, senior roles such as research directors, chief scientists, or principal investigators tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced degrees, extensive experience, and leadership skills, and are common in industries like pharmaceuticals, technology, and government agencies.

How do you earn money on ask wonder?

Wonder Research is a role where individuals earn money by completing research tasks, answering questions, or providing information for clients. Payment is typically based on the complexity and length of each task, and workers often need to meet certain quality standards and deadlines to receive compensation.
More about Wonder Research jobs
What states have the most Wonder Research jobs? States with the most job openings for Wonder Research jobs include:
What job categories do people searching Wonder Research jobs look for? The top searched job categories for Wonder Research jobs are:
Wonder Research jobs near you
Infographic showing various Wonder Research job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $105,259 per year, or $50.6 per hour.

Research Engineer / Scientist, Post-Training

Letta

San Francisco, CA • On-site

Full-time

Posted 5 days ago

Job description

Solving Self-Improving Superintelligence
The human brain is a sponge. Today's AI brains are brittle and rigid. At Letta, we're building self-improving artificial intelligence: creating agents that continually learn from experience and adapt over time.
Founded by the creators of MemGPT from UC Berkeley's Sky Computing Lab (the birthplace of Spark and Ray). Backed by Jeff Dean, Clem Delangue, and pioneers across AI infrastructure. Our agents already power production systems at companies like 11x and Bilt Rewards, learning and improving every day.
We're assembling a world-class team of researchers and engineers to solve AI's hardest problem: making machines that can reason, remember, and learn the way humans do.
Note that this role is in-person (no hybrid), 5 days a week in downtown San Francisco.
Your role
You will pioneer post-training techniques that improve how well LLMs can be integrated into complete agentic systems. At Letta, you'll work with a world-class, tight-knit team of AI researchers and engineers towards our vision of self-improving superintelligence. Advance the field through open publishing of research through papers, technical reports, blog posts, and open-source code.
What You're Responsible For:
  • Training models for better agentic tool-use, particularly for context management
  • Designing mechanisms for continuous model weight updates post-deployment without catastrophic forgetting
  • Designing and run experiments to improve understanding of the interplay between data mixtures, training algorithms, and models
  • Building infrastructure for generating and collecting synthetic data at scale
  • Building challenging evals for measuring agentic capabilities
What We're Looking For:
  • Proficiency in python and deep learning frameworks eg. PyTorch
  • Expertise in post-training techniques e.g. SFT fine-tuning, reinforcement learning, reward models, preference learning
  • Ability to balance execution speed with empirical rigor
  • Proven track record of impactful research (breakthrough publications and/or open-source contributions)
  • Real-world impact beyond pure academic work

Our culture
Signs it could be a great fit:
  • You want to maximize your impact: you want work on a small, incredibly talented team where every individual plays a huge role in the team's success. You wonder what it would have been like to be at OpenAI when it was just a dozen people, or Google when it was just a couple of grad students in a garage.
  • You're excited to go head-to-head with tech giants, frontier labs, and other startups that are many times our size in both headcount and funding.
  • You are fundamentally opposed to closed frontier AI that is controlled by a handful of billionaires and private tech companies.

Signs it's a bad fit:
  • You like stability, and get stressed out when there's nobody telling you exactly what to do. We look for people that thrive in ambiguity and can intuit the most important problems by talking to customers and dogfooding our product.
  • You want to work a 9-5, and value clear separation of work from life. The stakes are the highest they've ever been, and the only moat is execution velocity. Operating on a strict 9-5 guarantees failure.
  • You value titles or want to people-manage. Letta is a flat company where every researcher and engineer is an individual contributor.

Our Interview Process:
  • Initial screen (30 min)
  • Technical screen (1-1.5 hours)
  • Paid in-person work trial (2 days onsite in SF)

Apply