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Neutral Evaluator Jobs (NOW HIRING)

160 Driving Academy

Third-Party CDL Examiner

Elkins, WV · On-site

$28 - $30/hr

Conduct comprehensive Class A commercial driver's license testing, evaluating applicants fairly and ... Maintain a structured, professional, and neutral testing environment, exhibiting patience and clear ...

160 Driving Academy

Third-Party CDL Examiner

Columbus, OH · On-site

$28 - $30/hr

Conduct comprehensive Class A commercial driver's license testing, evaluating applicants fairly and ... Maintain a structured, professional, and neutral testing environment, exhibiting patience and clear ...

Sentient Foundation

Head of Product

San Francisco, CA · Remote

$238K - $249K/yr

We're a neutral, transparent steward of the open AGI ecosystem, uniting researchers, builders, and ... You will lead the Agents & Evaluation product team * Act as the Foundation's primary product ...

160 Driving Academy

Third-Party CDL Examiner

Columbus, OH · On-site

$28 - $30/hr

Conduct comprehensive Class A commercial driver's license testing, evaluating applicants fairly and ... Maintain a structured, professional, and neutral testing environment, exhibiting patience and clear ...

Sentient Foundation

Head of Product

San Francisco, CA · On-site

$274K - $287K/yr

We're a neutral, transparent steward of the open AGI ecosystem, uniting researchers, builders, and ... You will lead the Agents & Evaluation product team * Act as the Foundation's primary product ...

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All JobsNeutral Evaluator Jobs

Neutral Evaluator information

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$29.5K

$65.5K

$106.5K

How much do neutral evaluator jobs pay per year?

As of Aug 17, 2026, the average yearly pay for neutral evaluator in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What are some typical challenges neutral evaluators face when facilitating dispute resolution?

Neutral Evaluators often encounter the challenge of maintaining impartiality while navigating complex, emotionally charged disputes. Balancing the interests of all parties and effectively managing communication to prevent escalation require strong interpersonal and analytical skills. Additionally, Neutral Evaluators must stay objective when assessing evidence and legal arguments, ensuring their evaluations are both fair and clear. Successful professionals in this role continuously develop their conflict resolution techniques and stay updated on relevant legal standards.

What is the difference between Neutral Evaluator vs Forensic Psychologist?

AspectNeutral EvaluatorForensic Psychologist
CredentialsTypically requires a psychology degree and relevant licensingRequires advanced psychology degrees, licensing, and specialized forensic training
Work EnvironmentLegal settings, courts, or mediation environmentsCourts, law enforcement agencies, or correctional facilities
Industry UsageUsed in legal disputes, mediations, and evaluationsInvolved in criminal cases, assessments, and expert testimony
Search & Comparison IntentUnderstanding roles in legal evaluations and mediationsFocus on criminal justice, assessments, and expert witness roles

While both roles involve psychological assessments within legal contexts, a Neutral Evaluator primarily provides impartial opinions in disputes or mediations, whereas a Forensic Psychologist conducts detailed evaluations for criminal or civil cases, often serving as expert witnesses. The key differences lie in their specific training, work environment, and the nature of their evaluations.

What are the key skills and qualifications needed to thrive as a neutral evaluator, and why are they important?

To thrive as a Neutral Evaluator, you need a strong background in legal analysis, dispute resolution, and subject matter expertise relevant to the cases you evaluate, often supported by a law degree or specialized certification. Familiarity with case management systems, legal research databases, and ADR (Alternative Dispute Resolution) platforms is typically required. Exceptional impartiality, active listening, and clear written and verbal communication are essential soft skills for building trust and accurately assessing disputes. These skills ensure fair, unbiased evaluations and facilitate efficient, effective resolution processes.

What is a neutral evaluator?

Neutral Evaluators are impartial third-party professionals who assess disputes or claims, usually in legal or workplace contexts, to provide an unbiased opinion about the facts and merits of a case. Their role is not to make binding decisions, but to offer an objective evaluation that can help parties better understand the strengths and weaknesses of their positions. This process can facilitate settlement discussions, reduce litigation costs, and promote fair outcomes. Neutral Evaluators are often attorneys, judges, or experts in relevant fields, chosen for their expertise and neutrality.
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What job categories do people searching Neutral Evaluator jobs look for?

The top searched job categories for Neutral Evaluator jobs are:

Neutral Evaluator jobs near you
Infographic showing various Neutral Evaluator job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

Quantitative Researcher - Machine Learning

Point72

New York, NY • On-site

Full-time

Re-posted 10 days ago

Job description

JOB RESPONSIBILITIES:
A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.
Key responsibilities may include:
  • Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
  • Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
  • Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

DESIRABLE CANDIDATES:
  • Master's or PhD in machine learning, computer science, statistics, or related fields.
  • Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
  • Prior research experience utilizing machine learning over large, possibly noisy, data sets.
  • Strong analytical and quantitative skills, and a detail-oriented mindset.
  • Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
  • Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
  • Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
  • Commitment to the highest ethical standards.

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