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Weekend Science Jobs in Maine (NOW HIRING)

Td

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience ...

Td

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience ...

Merck & Co.

... Science Liaison) is a credentialed (i.e., PhD, PharmD, DNP, MD) Director Level Medical Affairs position and therapeutic and disease expert who engages in bidirectional exchange of scientific or ...

Merck & Co.

... Science Liaison) is a credentialed (i.e., PhD, PharmD, DNP, MD) Director Level Medical Affairs position and therapeutic and disease expert who engages in bidirectional exchange of scientific or ...

MSD

... Science Liaison) is a credentialed (i.e., PhD, PharmD, DNP, MD) Director Level Medical Affairs position and therapeutic and disease expert who engages in bidirectional exchange of scientific or ...

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Weekend Science information

See Maine salary details

$27.6K

$53.4K

$88.1K

How much do weekend science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend science in Maine is $53,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,200.00 and $62,900.00 per year, depending on experience, location, and employer.

What is a Weekend Science?

A Weekend Science job typically involves scientific research, laboratory work, or technical support that takes place on weekends. These roles are common in industries like healthcare, research institutions, and environmental monitoring, where experiments or operations continue beyond standard work hours. Responsibilities may include conducting experiments, analyzing data, maintaining equipment, or assisting with ongoing projects. Weekend Science jobs can be ideal for students, part-time workers, or professionals looking to supplement their income while contributing to scientific advancements.

What are the typical responsibilities and work schedules for someone in a Weekend Science position?

Weekend Science professionals are often responsible for conducting experiments, recording data, and maintaining laboratory equipment during weekend shifts. Schedules usually involve working part-time on Saturdays and Sundays, often as part of a rotating team to ensure research continuity. You may collaborate closely with weekday staff through detailed handover notes, so clear communication and documentation are important. This setup allows for extended research hours, supporting projects that require ongoing monitoring or time-sensitive work, and can be ideal for students or those seeking flexible employment in the sciences.

What are the key skills and qualifications needed to thrive in the Weekend Science position, and why are they important?

To excel in a Weekend Science role, candidates typically need a strong background in biological, chemical, or physical sciences, often supported by a relevant degree or laboratory experience. Familiarity with laboratory equipment, data analysis software, and common safety protocols is essential. Strong attention to detail, communication, and problem-solving skills are important soft skills for this position. These abilities ensure safe, efficient, and accurate completion of experiments and collaboration within the team during weekend shifts.

What are some fun weekend science jobs?

Weekend science jobs include roles such as science camp instructors, museum educators, or event demonstrators, which often involve engaging the public with hands-on experiments. These positions typically require strong communication skills, basic scientific knowledge, and sometimes certifications like CPR or safety training. They offer flexible schedules and opportunities to share science in informal settings.

What job should I get if I like science?

If you like science, you can pursue roles such as a laboratory technician, research scientist, or science teacher. These jobs often require strong knowledge of scientific principles, relevant degrees, and sometimes certifications or laboratory skills. They typically involve working in labs, educational settings, or research environments.

What are the most commonly searched types of Science jobs in Maine?

The most popular types of Science jobs in Maine are:

Weekend Science jobs near you
Infographic showing various Weekend Science job openings in Maine as of August 2026, with employment types broken down into 9% As Needed, 72% Full Time, and 19% Part Time. Highlights an 91% In-person, 6% Hybrid, and 3% Remote job distribution, with an average salary of $53,433 per year, or $25.7 per hour.

Staff Applied Scientist Document Vision

Relativity

Portland, ME • On-site

Other

Posted 14 days ago

Job description

Posting Type

Remote/Hybrid

Job Overview

The Work
Every legal matter is its own experiment. An attorney arrives with a theory of the case; the evidence arrives as hundreds of thousands of documents, sometimes millions, that no one has read and no model has seen. Somewhere in the cross product of the two are the answers that decide lawsuits, investigations, and livelihoods. Finding them quickly and defensibly, with the integrity and credibility attorneys can rely on, is the problem we own. We solve it creatively and rigorously.
Relativity is a data-centered, AI-native legal technology company, and Applied Science builds the AI inside Relativity aiR. We launched aiR in 2023 and have now run commercial generative AI in the legal domain for more than three years, powering work that includes the largest investigations in the world. Our systems are distinguished by the data they operate over (more than 93 petabytes) and the work they have done: over 190 million AI review decisions, backed by more than 1 billion generative sub-analyses in 2026 alone. The team is as distinctive as the data: legal experts, all former litigators, work directly inside Applied Science.
At Relativity, our mission is to Organize data. Discover the truth. Act on it. The Applied Science team serves this mission by building bold and ambitious AI systems. We are curious, dedicated, and humble. We understand complexity, uphold rigor, and measure relentlessly. We build and ship with pace. Above all, we are interdisciplinary collaborators and team players.
We're looking for a Staff Applied Scientist to take on our hardest problems in document vision and set standards that reach beyond a single team.

Job Description and Requirements

Capable and Reliable

Two requests can look nearly identical and be worlds apart. "See if you can find me an example of this" needs a capable system: it finds the example or it doesn't. "Conduct a reasonable search for any and all documents responsive to this request" is a different kind of promise. Its answer spans a corpus no one will ever read end-to-end. So the system's process, as much as its output, has to earn the trust of the professionals who rely on it.

That property is reliability. It decomposes into consistency, robustness, calibration, and safety: systems that behave tomorrow the way they did today, degrade predictably under stress, know how confident they should be, and check their own work. Before aiR returns an analysis, it validates its citations and runs internal consistency checks; when a check fails, it refuses to answer. It has refused more than a million times so far in 2026, and we count every one as a success: an error caught before it reached a user.

You'll build for both, and help define the standard for how.

The Focus: Document Vision

This role anchors our document-vision work: teaching systems to read evidence the way legal professionals do. Real matters arrive as scanned pages, photographs, tables, handwriting, stamps, and broken layouts, at the scale of millions of documents. You'll own the science of multimodal document understanding across aiR, from vision-language modeling to the evaluation standards that make visual evidence usable and defensible.

What You'll Do

  • Take on the hardest, most ambiguous problems in the portfolio and produce clarity: a well-specified approach, an evaluation that settles the question, a system that ships.
  • Set standards that reach beyond your team: evaluation methods, modeling patterns, and quality bars adopted by scientists you've never worked with.
  • Own readiness for flagship AI systems, from problem framing through efficacy studies and production monitoring, in partnership with engineering.
  • Multiply the team through deep review and mentorship of senior and lead scientists.
  • Advise Applied Science leadership on where the science is going and where we should invest.

What You Bring

  • A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years of applied AI/ML experience.
  • Years of production AI/ML behind you: systems you specified, shipped, and operated at scale, in partnership with the engineers who run them.
  • Expert judgment about AI systems: you've built them, measured them, and formed views of their limits that hold up under challenge.
  • Scientific rigor other people borrow: you supervise the data understanding of teams beyond your own, your evaluations become the template, and your error analyses end debates.
  • Software-engineering judgment trusted across teams, and the programming skill to credibly prototype what you propose.
  • An ownership mindset that extends across the organization.

Nice to Have

  • Experience with vision-language or document-understanding models (layout analysis, OCR-adjacent pipelines, table and figure extraction) in production.
  • An interest in legal technology and the justice system.
  • Experience developing information retrieval systems.
  • Experience developing agentic harnesses.
  • Experience building reliable AI systems at scale.

Why Relativity Applied Science

This is the place where your curiosity, dedication, and talent will build products that power the pursuit of justice around the world.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$197,000 and $295,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Algorithms, Computer Vision, Data Analysis, Data Science, Deep Learning, Machine Learning (ML), Natural Language, Natural Language Processing (NLP), Python (Programming Language), Scientific Research

Apply